research computer science uw madison

• Skip to Content
• Catalog Home
• Computer Sciences, B.S.

Our graduates discover that computer science (CS) opens up a world of possibilities. 

Computer scientists enjoy exceptional career opportunities , in settings ranging from large, established companies to adventurous new start-ups. They are also well qualified to pursue graduate study in a number of fields.

Our students are creative, analytical problem-solvers . This is a rich, collaborative and varied field that you will find challenging, no matter where your individual interests lie.

And there is more to CS than programming. While software engineering is an important skill, computer scientists also work with robots and other physical devices, design hardware that runs faster and more efficiently, and apply machine learning techniques to gain insight from large data sets—to name just a few examples.

Because CS has become highly interconnected with medicine, business and many other fields , it is a great fit with other interests you may have. You will enjoy a strong career outlook while having an impact on society .

DECLARATION REQUIREMENTS

To declare the computer sciences major, students must meet the following requirements 1 :

• Completion of COMP SCI 300 and either MATH 222 or MATH 276
• Grade of BC or higher in one of these introductory programming courses, taken at UW-Madison: COMP SCI 300 , COMP SCI/​E C E  354 or COMP SCI 400
• 2.250 GPA or higher among the first completed attempts of these courses:  COMP SCI 300  and either MATH 222 or MATH 276

 For purposes of computer sciences major declaration requirements, GPA is calculated with UW-Madison courses only and does include the first attempt of all eligible major declaration coursework completed at time of submitting major declaration request.  Repeated coursework is not included.

If a student needs additional coursework to meet the 2.250 GPA requirement, COMP SCI/​MATH  240 , COMP SCI/​E C E  354 , and/or COMP SCI 400 Programming III may also be used. 

Students having difficulties meeting the above requirements should schedule a meeting with a computer sciences advisor.

For instructions on declaring the major, see the  Department of Computer Sciences website .

University General Education Requirements

College of letters & science degree requirements: bachelor of science (b.s.), requirements for the major, residence and quality of work, honors in the major.

All undergraduate students at the University of Wisconsin–Madison are required to fulfill a minimum set of common university general education requirements to ensure that every graduate acquires the essential core of an undergraduate education. This core establishes a foundation for living a productive life, being a citizen of the world, appreciating aesthetic values, and engaging in lifelong learning in a continually changing world. Various schools and colleges will have requirements in addition to the requirements listed below. Consult your advisor for assistance, as needed. For additional information, see the university Undergraduate General Education Requirements section of the Guide .

Students pursuing a Bachelor of Science degree in the College of Letters & Science must complete all of the requirements below. The College of Letters & Science allows this major to be paired with either the Bachelor of Arts or the Bachelor of Science degree requirements.

Bachelor of Science DEGREE REQUIREMENTS

Non–l&s students pursuing an l&s major.

Non–L&S students who have permission from their school/college to pursue an additional major within L&S only need to fulfill the major requirements. They do not need to complete the L&S Degree Requirements above.

 BASIC COMPUTER SCIENCES

 basic calculus, additional mathematics (beyond calculus).

MATH 375 Topics in Multi-Variable Calculus and Linear Algebra will not meet the requirement if a student already has credit for MATH 234 Calculus--Functions of Several Variables , MATH 320 Linear Algebra and Differential Equations or MATH 340 Elementary Matrix and Linear Algebra .  

Advanced Computer Science Courses

 theory of computer science,  software & hardware,  applications.

In every case, a course used toward one requirement may not be used again toward another requirement.  For example, if  COMP SCI 412 is applied to the ADDITIONAL MATH (BEYOND CALCULUS) requirement, it cannot also apply to the APPLICATIONS requirement.  

• 2.000 GPA in all COMP SCI courses and courses counting toward the major
• 2.000 GPA on 15 upper-level credits, taken in residence 3
• 15 credits in COMP SCI, taken on campus

 COMP SCI courses numbered 400 through 699 count as Upper Level.

Students may declare Honors in the Computer Sciences Major in consultation with the Computer Sciences undergraduate coordinator(s).  To earn Honors in the Major in Computer Sciences, students must satisfy both the requirements for the major (above) and the following additional requirements:

• Earn a minimum 3.300 University GPA
• Earn a minimum 3.500 GPA for all COMP SCI and major courses
• Complete one COMP SCI course numbered 500 through 699, taken for Honors with a grade of B or higher
• Complete  COMP SCI 681  and  COMP SCI 682  for a total of 6 credits. 4

Senior Honors Thesis proposal must be approved by both the thesis/project advisor and the department undergraduate coordinator before enrollment in  COMP SCI 681 . A final thesis or project must be completed before a final grade for  COMP SCI 682  can be awarded.

• Recognize and apply the core principles of Computing (abstractions and algorithms) to solve real-world problems.
• Describe and apply the theoretical foundations of Computer Science (e.g., complexity analysis) in practical settings.
• Demonstrate knowledge of key elements of computer systems, e.g., hardware, operating systems, networks.
• Use fundamental and detailed knowledge, skills, and tools (e.g., specific algorithms, techniques methods, etc.) of computer science and develop the ability to acquire new knowledge, skills, and tools.
• Design, implement, and evaluate software in multiple programming paradigms and languages.
• Develop a substantial piece of software, and recognize the challenges of designing and developing software.
• Exhibit technical (designing, implementing, and testing) and teamwork (communication, collaboration, and professional practice) skills in order to develop solutions as a computer science practitioner.
• Can solve problems by applying a broad toolbox of knowledge and techniques.

Sample Four-Year Plan

This Sample Four-Year Plan is a tool to assist students and their advisor(s). Students should use it—along with their DARS report, the Degree Planner, and Course Search & Enroll tools—to make their own four-year plan based on their placement scores, credit for transferred courses and approved examinations, and individual interests. As students become involved in athletics, honors, research, student organizations, study abroad, volunteer experiences, and/or work, they might adjust the order of their courses to accommodate these experiences. Students will likely revise their own four-year plan several times during college.

The undergraduate coordinators in the Department of Computer Sciences are ready to help students with questions about the major, L&S degree requirements and policy, and course selection. Information on academic advising for students interested or declared in the computer sciences major is posted to the Computer Sciences advising page . 

Demand for those with a computer sciences education is exceptionally strong. According to figures from the U.S. Bureau of Labor Statistics, the vast majority of growth in STEM (science, technology, engineering, and math) occupations through 2020 will occur within computing fields.

Computer sciences majors are encouraged to begin working on their career exploration and preparation soon after arriving on campus to explore different career paths, participate in co-ops or summer internships, prepare for the job search and/or graduate school applications, and network with professionals in the field.

Department of Computer Sciences: the department hosts one major career fair per year, in the fall, as well as other opportunities to connect with employers, such as technical talks and information sessions.

SuccessWorks at the College of Letters & Science: SuccessWorks offers two major career fairs per year, assists with resume writing and interviewing skills, and offers individual career advising appointments for L&S students.

Engineering Career Services (ECS):   ECS offers two major career fairs per year, assists with resume writing and interviewing skills, and hosts workshops on the job search. 

L&S career resources

Every L&S major opens a world of possibilities.  SuccessWorks at the College of Letters & Science helps students turn the academic skills learned in their major, certificates, and other coursework into fulfilling lives after graduation, whether that means jobs, public service, graduate school or other career pursuits.

In addition to providing basic support like resume reviews and interview practice, SuccessWorks offers ways to explore interests and build career skills from their very first semester/term at UW all the way through graduation and beyond.

Students can explore careers in one-on-one advising, try out different career paths, complete internships, prepare for the job search and/or graduate school applications, and connect with supportive alumni and even employers in the fields that inspire them.

• SuccessWorks
• Set up a career advising appointment
• INTER-LS 210 L&S Career Development: Taking Initiative (1 credit)
• INTER-LS 215 Communicating About Careers (3 credits, fulfills Comm B General Education Requirement)
• INTER-LS 260 Internship in the Liberal Arts and Sciences
• Activate your Handshake account to apply for jobs and internships from 200,000+ employers recruiting UW-Madison students
• Learn about the impact SuccessWorks has on students' lives

Visit the CS website to view our department  faculty  and  staff .

Visit Scholarships@UW-Madison to find UW–Madison scholarships and apply online.

Visit the scholarships page on the Department of Computer Sciences website for a compendium of opportunities available to students studying computer sciences.

• How to Get in
• Requirements
• Learning Outcomes
• Four-Year Plan
• Advising and Careers
• Resources and Scholarships

Contact Information

Computer Sciences College of Letters & Science Computer Science, B.S. http://cs.wisc.edu

Computer Sciences Undergraduate Advising [email protected] Room 4298 Computer Sciences Building, 1210 West Dayton Street, Madison, WI 53706 https://www.cs.wisc.edu/undergraduate/undergraduate-advisors/

• /​pdf/​
• Explore Graduate Opportunities
• Explore UW-​Madison's Undergraduate Opportunities
• Graduate Guide
• Nondegree/​Visiting Student Guide
• Pharmacy Guide
• School of Medicine and Public Health Guide
• College of Agricultural and Life Sciences
• College of Engineering
• African American Studies
• African Cultural Studies
• American Indian and Indigenous Studies Program
• Anthropology
• Art History
• Asian American Studies Program
• Asian Languages and Cultures
• Atmospheric and Oceanic Sciences
• Biology Core Curriculum
• Center for Law, Society, and Justice
• Chicana/​o and Latina/​o Studies
• Classical and Ancient Near Eastern Studies
• Communication Arts
• Communication Sciences and Disorders
• Computer Sciences, B.A.
• Computer Sciences, Certificate
• Environmental Studies
• French and Italian
• Gender and Women's Studies
• German, Nordic, and Slavic
• Information
• Institute for Regional and International Studies
• Integrated Liberal Studies
• Integrative Biology
• La Follette School of Public Affairs
• Language Sciences
• Letters &​ Science -​ College-​Wide
• Mathematics
• Mead Witter School of Music
• Mosse/​Weinstein Center for Jewish Studies
• Planning and Landscape Architecture
• Political Science
• Religious Studies
• Sandra Rosenbaum School of Social Work
• School of Journalism and Mass Communication
• Spanish and Portuguese
• Gaylord Nelson Institute for Environmental Studies
• School of Business
• School of Education
• School of Human Ecology
• School of Nursing
• School of Pharmacy
• Veterinary Guide

• Calendar/Events
• Navigate: Students
• One-Stop Resources
• Navigate: Staff
• My Wisconsin Portal
• More Resources

COMPUTER SCIENCE

Bachelor’s degree programs.

Big Data. Big opportunity.

Computers and networks are behind nearly everything we do: at home, at work, in school, or on the road — and technology is advancing and evolving faster than ever before. This growth has created incredible demand for computer science professionals — and for positions that didn’t exist a decade ago.

With emerging fields like data science, artificial intelligence and cybersecurity, it’s certainly an exciting time to pursue a career in computer science. The possibilities have never been broader for logical problem solvers.

The U.S. Department of Labor predicts computer-related occupations to be among the fastest-growing in the country. According to code.org, 67% of all new STEM jobs through 2028 will be in computing. IT and computer science jobs, such as data scientist and software engineer, consistently rank at the top on “best job” lists, for both availability and pay.

A degree in computer science prepares you to work in an array of areas, including software development, web development, database management, data analytics, information security, robotics and gaming.

4-year plan

CAN WE BRAG A LITTLE?

Advancing technology, Advancing your career.

100% of recent graduating computer science students were employed or pursuing an advanced degree after graduation. (2020-21 research survey)

Why study Computer Science at UW-Whitewater?

If you were to visit our classrooms or walk our halls, you’d find our students are curious and industrious, and our faculty are energetic and helpful.

Here are just a few reasons why the Computer Science department at the University of Wisconsin-Whitewater might be a fit for you:

• Personalize your pathway by adding a minor that fits your career goals, or dive deep into the field with our comprehensive emphasis.
• Learn from active researchers in cutting-edge areas like artificial intelligence, data science and cybersecurity.
• Attend our annual internship and undergraduate research Fair, where you can find new opportunities or share what you’ve learned and discovered with your peers.
• Find career and professional development opportunities, such as mock interviews and guest speakers, with industry professionals.

What our Computer Science students do

Participate in undergraduate research

Gain hands-on experience in interactive lab classes

Get involved with career-related clubs and activities

Hands-on learning experiences.

Developing technical and problem-solving skills is critical for career preparation, and you’ll have plenty of chances for real-world learning as a computer science major at UW-Whitewater.

Undergraduate research Computer science majors participate in the Undergraduate Research Program and Research Apprenticeship Program. Also, the interdisciplinary nature of technology means our students and faculty members often collaborate with majors and departments, including math, biology, business and communications.

Internships While the bachelor’s degree in computer science doesn’t require an internship, gaining real-world experience in a professional environment could be valuable to your future computer science careers. Our students have found internships at software, telecommunication, financial, insurance, medical, marketing, retail and other types of companies in the region, and even from afar.

For example, a UW-Whitewater student was selected for a competitive summer research internship with the U.S. Naval Research Laboratory in Washington, D.C.

How to train a robot

Sadiq Wanyaka, a computer science major, has an internship at Tormach in Monona, Wisconsin, where he is exploring robotic programming. It’s a transformative experience, transitioning him from a software-focused background to a realm where robotics and software intersect, paving the way for exciting future endeavors.

Read more and watch video

Service learning Whether as part of a class or senior project, you can use your skills to make a difference. For example, software engineering and data science classes often involve working with a local nonprofit client.

Campus and community involvement

You’ll find many ways to get involved on campus and in the local community.

Clubs and organizations UW-Whitewater has scores of student clubs on campus. A few that might stand out to computer science majors include:

• Association of Computing Machinery
• Whiteboard Club
• Game and Media Entertainment Developers (GAMED)
• Student Math Association
• ISACA (Information Systems Audit and Control Association)

Thinking in Code Learning Community First-year students at UWW have the chance to join a learning community, where they share a residence hall and classes with like-minded students. Thinking in Code is the designated learning community for computer science majors.

Science outreach Students can participate in UWW’s Science Outreach programming, such as Game Development Camp or Tech Savvy .

What our graduates do

Software engineers and developers

Application developers and analysts

Database administrators

Careers in computer science.

Our graduates start their computer science careers in a variety of positions in industries and companies of all kinds. Employers often report UW-Whitewater computer science majors as team players who are hard-working, humble and happy, with good technical skills.

Here’s a sampling of companies:

• Diesel Forward Inc.
• Northwestern Mutual
• Quad/Graphics
• QuadMed LLC
• American Family Insurance
• Acuity Insurance
• JDA Software
• U.S. Cellular
• Google (Madison office)
• IBM (Madison and Norway offices)

Job titles include:

• Senior software engineer/software engineer/associate software engineer
• Application developer/front-end application developer, back-end application developer/ full-stack application developer
• Software developer
• Computer science teacher
• Application analyst
• Cryptography specialist
• Computer support specialist
• Cyber-security analyst
• Game designer
• Database administrator

Hired Before Graduation

Julie Wisniewski from Wind Lake, Wisconsin, earned a B.S. in computer science and was hired as a technology department program employee with Milwaukee Tool in Brookfield, Wisconsin.

Shawn Pieper from Villa Park, Illinois, earned an M.S. in computer science and was hired as a software engineer with Optimal Blue in Mequon, Wisconsin.

"Dr. Hien Nguyen was my advisor for my capstone project and helped me succeed in her research group and beyond, which helped me obtain the summer internships which landed me my upcoming job."

Samuel Ewert from Brookfield, Wisconsin, earned an M.S. in computer science and was hired as a full-stack development manager working virtually with Joy Research.

"Dr. Hien Nguyen has advised me throughout my entire college career and referred me for multiple job opportunities."

Bryce Rothschadl, from Watertown, Wisconsin, earned a B.S. in computer science and was accepted to graduate school at the University of Wisconsin-Whitewater pursuing a Master of Science in Computer Science in Whitewater, Wisconsin.

Collin Janaes, from Libertyville, Illinois, earned a B.S. in computer science and was hired as an IT operations specialist with Trelleborg in Schaumburg, Illinois.

Graduate and professional school

Ready to level up? UW-Whitewater offers a high-quality and affordable master’s degree in computer science (you can learn in-person or earn the degree fully online ).

Other places where Warhawk students have pursued graduate degrees and doctorates include:

• Dartmouth College Thayer School of Engineering (Ph.D. in computer science)
• Illinois Institute of Technology
• Marquette University
• University of California-Berkeley
• University of Nevada-Las Vegas (Ph.D. in data science)
• University of Wisconsin-Madison

Our faculty

The UW-Whitewater computer science faculty works together as a team to promote a student-centered approach to teaching.

We have diverse expertise and research interests, many of which reflect the most in-demand computer science skills today, from AI to data science. Areas of speciality include:

• Artificial intelligence (computer vision, machine learning, user modeling, decision modeling)
• Cybersecurity (data privacy, internet of things security and privacy, AI for attacks and defenses )
• Data science (block chain, data science in medicine, deep data)
• Software engineering (software verification)
• Computational biology (bioinformatics, genome evolution)
• Theory of computer science (mathematical programming and optimization, algebra and combinatorics, operation research, data structure)
• Web development

Our faculty members are also heavily engaged in undergraduate research.

Meet our faculty

Want to learn more about earning a degree in Computer Science? 262-472-1666 | [email protected]

• PROGRAMS AND DEGREE REQUIREMENTS
• HOW TO APPLY

UW-Whitewater offers the following undergraduate Computer Science degrees and programs:

• Bachelor of Arts — Computer Science | 4-year plan
• Bachelor of Science — Computer Science | 4-year plan
• Bachelor of Arts — Computer Science, Applied Computing emphasis *
• Bachelor of Science — Computer Science, Applied Computing emphasis *
• Bachelor of Science — Computer Science, Comprehensive emphasis | 4-year plan

* Requires an associate degree from an institution that has an articulation agreement with UW-Whitewater

• Bioinformatics
• Computer Science

Cybersecurity

• Data Science
• Website Development and Administration

In addition to UW-Whitewater’s general education requirements, as a computer science major, you’ll take a variety of core and elective classes that will vary based on your chosen emphasis. Here’s an example of classes most computer science majors will take:

• Introduction to Java
• Introduction to C++
• Data Structures
• Assembly Programming
• Database Management Systems
• Theory of Algorithms
• Software Engineering

Students interested in the comprehensive emphasis will take an ethics course and complete two lab science courses.

Students earning the general degree are required to choose a minor.

To apply, you’ll complete the UW-Whitewater standard application for admission and indicate your interest in earning a degree in Computer Science.

Explore related programs at UW-Whitewater

Media Arts and Game Development

Mathematics

Information Technology

Supply Chain Management

We use cookies on this site. By continuing to browse without changing your browser settings to block or delete cookies you agree to the UW-Whitewater Privacy Notice .

Aws Albarghouthi Associate Professor Computer Sciences UW–Madison

see all papers  ·  preprints on arxiv

The dataset multiplicity problem: How unreliable data impacts predictions FACCT 23 · Meyer, Albarghouthi, D’Antoni

Synthesizing quantum-circuit optimizers PLDI 23 · Xu, Molavi, Pick, Tannu, Albarghouthi

Proving data-poisoning robustness in decision trees CACM 23 · Drews, Albarghouthi, D’Antoni 🏆 Research highlight

Sketching robot programs on the fly HRI 23 · Porfirio, Stegner, Cakmak, Sauppé, Albarghouthi, Mutlu

Crowdsourcing task traces for service robotics HRI 23 · Porfirio, Sauppé, Cakmak, Albarghouthi, Mutlu

BagFlip: A certified defense against data poisoning NeurIPS 22 · Zhang, Albarghouthi, D’Antoni

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels NeurIPS 22 · Roberts, Li, Huang, Adila, Schoenberg, Liu, Pick, Ma, Albarghouthi, Sala

Qubit mapping and routing via MaxSAT MICRO 22 · Molavi, Xu, Diges, Pick, Tannu, Albarghouthi · code

Interval universal approximation for neural networks POPL 22 · Wang, Albarghouthi, Prakriya, Jha

Semantic robustness of models of source code SANER 22 · Henkel, Ramakrishnan, Wang, Albarghouthi, Jha, Reps · code

Backdoors in neural models of source code ICPR 22 · Ramakrishnan, Albarghouthi · code

Certifying robustness to programmable data bias in decision trees NeurIPS 21 · Meyer, Albarghouthi, D’Antoni · code

Certified robustness to programmable transformations in LSTMs EMNLP 21 · Zhang, Albarghouthi, D’Antoni · code

Interaction templates: A data-driven approach for authoring robot programs PLATEAU 21 · Porfirio, Cakmak, Sauppé, Albarghouthi, Mutlu

Figaro: A tabletop authoring environment for human-robot interaction CHI 21 · Porfirio, Stegner, Cakmak, Sauppé, Albarghouthi, Mutlu · code

Learning differentially private mechanisms SP 21 · Roy, Hsu, Albarghouthi

Distribution policies for datalog TOCS 20 · Ketsman, Albarghouthi, Koutris

Synthesizing action sequences for modifying model decisions AAAI 20 · Ramakrishnan, Lee, Albarghouthi · code

Transforming robot programs based on social context CHI 20 · Porfirio, Sauppé, Albarghouthi, Mutlu · code

Generating programmatic referring expressions via program synthesis ICML 20 · Huang, Smith, Bastani, Singh, Albarghouthi, Naik · code

Robustness to programmable string transformations via augmented abstract training ICML 20 · Zhang, Albarghouthi, D’Antoni · code

Proving data-poisoning robustness in decision trees PLDI 20 · Drews, Albarghouthi, D’Antoni · code 🏆 SIGPLAN Research Highlight / Appeared in Communications of the ACM (CACM), Feb 2023

Automated tuning of query degree of parallelism via machine learning AIDM 20 · Fan, Sen, Koutris, Albarghouthi

Synthesizing differentially private programs ICFP 19 · Smith, Albarghouthi · code

Trace abstraction modulo probability POPL 19 · Smith, Hsu, Albarghouthi

Scaling up in-memory datalog processing: Observations and techniques VLDB 19 · Fan, Zhu, Zhang, Albarghouthi, Koutris, Patel · code

Efficient synthesis with probabilistic constraints CAV 19 · Drews, Albarghouthi, D’Antoni · code

Fairness-aware programming FAT* 19 · Albarghouthi, Vinitsky

Computational tools for human-robot interaction design HRI 19 · Porfirio, Sauppé, Albarghouthi, Mutlu

Bodystorming human-robot interactions UIST 19 · Porfirio, Fisher, Sauppé, Albarghouthi, Mutlu · code

Program synthesis with equivalence reduction VMCAI 19 · Smith, Albarghouthi · code

Synthesizing coupling proofs of differential privacy POPL 18 · Albarghouthi, Hsu

Protocol-aware recovery for consensus-based distributed storage TOS 18 · Alagappan, Ganesan, Lee, Albarghouthi, Chidambaram, Arpaci-Dusseau, Arpaci-Dusseau

Constraint-based synthesis of coupling proofs CAV 18 · Albarghouthi, Hsu

Protocol-aware recovery for consensus-based storage FAST 18 · Alagappan, Ganesan, Lee, Albarghouthi, Chidambaram, Arpaci-Dusseau, Arpaci-Dusseau 🏆 Best paper award

Distribution policies for datalog ICDT 18 · Ketsman, Albarghouthi, Koutris

Fairness: A formal-methods perspective SAS 18 · Albarghouthi

Neural-augmented static analysis of android communication FSE 18 · Zhao, Albarghouthi, Rastogi, Jha, Octeau

Syntax-guided synthesis of datalog programs FSE 18 · Si, Lee, Zhang, Albarghouthi, Koutris, Naik · code

Authoring and verifying human-robot interactions UIST 18 · Porfirio, Sauppé, Albarghouthi, Mutlu · code 🏆 Best paper award

FairSquare: Probabilistic verification of program fairness OOPSLA 17 · Albarghouthi, D’Antoni, Drews, Nori · code

Repairing decision-making programs under uncertainty CAV 17 · Albarghouthi, D’Antoni, Drews · code

Constraint-based synthesis of datalog programs CP 17 · Albarghouthi, Koutris, Naik, Smith · code

Weighted model integration with orthogonal transformations IJCAI 17 · Merrell, Albarghouthi, D’Antoni

Probabilistic horn clause verification SAS 17 · Albarghouthi

Discovering relational specifications FSE 17 · Smith, Ferns, Albarghouthi · code 🏆 Best paper award

Effectively propositional interpolants CAV 16 · Drews, Albarghouthi

MapReduce program synthesis PLDI 16 · Smith, Albarghouthi · code

Maximal specification synthesis POPL 16 · Albarghouthi, Dillig, Gurfinkel

Beyond storage apis: Provable semantics for storage stacks HotOS 15 · Alagappan, Chidambaram, Pillai, Albarghouthi, Arpaci-Dusseau, Arpaci-Dusseau

Spatial interpolants ESOP 15 · Albarghouthi, Berdine, Cook, Kincaid

Symbolic optimization with SMT solvers POPL 14 · Li, Albarghouthi, Kincaid, Gurfinkel, Chechik

Beautiful interpolants CAV 13 · Albarghouthi, McMillan

Recursive program synthesis CAV 13 · Albarghouthi, Gulwani, Kincaid

UFO: verification with interpolants and abstract interpretation TACAS 13 · Albarghouthi, Gurfinkel, Li, Chaki, Chechik 🏆 Winner of 4 gold medals and 1 bronze medal

Ufo: A framework for abstraction- and interpolation-based software verification CAV 12 · Albarghouthi, Li, Gurfinkel, Chechik

Parallelizing top-down interprocedural analyses PLDI 12 · Albarghouthi, Kumar, Nori, Rajamani

Craig interpretation SAS 12 · Albarghouthi, Gurfinkel, Chechik

From under-approximations to over-approximations and back TACAS 12 · Albarghouthi, Gurfinkel, Chechik

Whale: An interpolation-based algorithm for inter-procedural verification VMCAI 12 · Albarghouthi, Gurfinkel, Chechik

Abstract analysis of symbolic executions CAV 10 · Albarghouthi, Gurfinkel, Wei, Chechik

On the use of planning technology for verification VVPS 09 · Albarghouthi, Baier, Mcilraith

🎓 Research group

Abtin Molavi Amanda Xu Yuhao Zhang Anna P. Meyer Lauren Pick · CI Postdoctoral Fellow

✏️ Teaching

🍉 the name  ·  أوس البرغوثي.

My first name rhymes with house—i.e., pronounced ouse . Aws is an ancient Arabic word for wolf. See, for example, this Graeco-Arabic inscription .

My last name is pronounced Al·bər·go͞o·tē (or Bər·go͞o·tē). Albarghouthi is a Palestinian family from the village of Deir Ghassaneh , about 20 miles north of Jerusalem and east of Jaffa.

• University of Wisconsin-Madison

Electrical & Computer Engineering Research

Research Areas – Electrical and Computer Engineering

Ranked 6th in the national research category for public universities by the National Science Foundation, UW-Madison continues to be a leader of exploration and discovery. The Department of Electrical and Computer Engineering is a proud part of that reputation of research excellence, boasting award-winning faculty, advanced facilities and laboratories, and a culture of creativity, innovation and diligence.

Research focus areas

Electrical and computer engineering research news

There’s no substitute for real engineering: In underwater localization class, design students aim for new technology

Diamond-embedded nanocoils improve magnetic field detection

Data ethics course teaches undergrads how to reduce bias in AI

My UW | UW Search

CS Department Location, phone, fax

• Events/Seminars
• In The News

Research     CHTC     Areas & Projects     UW Collaborations     Internet Scout     Technical Reports

• Graduate Program
• Undergraduate Program

Computing Facilities     Authenticated         Services     CSL     UPL

• Useful Resources
• Invest in CS
•   CS Department Location, phone, fax
• Search CS Website  
• Faculty Recruiting
• Staff Openings
• Graduate Admissions
• Undergraduates
• Key Contacts
• Undergraduate Students
• Graduate Students
• Instructors
• Administrative
• Computer System Lab
• Best Papers
• Areas & Projects
• UW Collaborations
• Internet Scout
• Technical Reports
• Badger Bytes
• Board of Visitors
• Alumni Connection
• Industrial Affiliates

Computer Networking Research

Human-Computer Interaction Group

Yea-seul Kim

Assistant Professor of Computer Science. My research interests lie in developing methods and tools that help people interact with computational models and systems by leveraging visualization techniques. Website

Bilge Mutlu

Position title: People and Robots Lab

Associate Professor of Computer Science , Psychology , and Industrial Engineering  and the director of the People and Robots Lab . My research builds human-centered principles and methods to enable effective and intuitive interactions between people and robotic technologies and facilitate the successful integration of these technologies into human environments.

Yuhang Zhao

Assistant Professor of Computer Science. My research interests include HCI, accessibility, augmented/virtual reality (AR/VR), and mobile interaction. I design and build intelligent interactive systems to enhance human abilities. Website

Information for Undergraduate Students

Undergraduate students at UW–Madison are fortunate to have the opportunity to work with some of the world’s leading researchers. Students can experience all aspects of the research process, from assisting others in the lab, to designing, directing, and presenting their own research. It’s also possible to obtain funding or credit for undergraduate research work.

Undergraduate Research Scholars

Provides first- and second-year undergraduates with opportunities to earn credit for participating in the research and creative work with UW-Madison faculty and staff.

Wisconsin Idea Fellowships

This annual award funds undergraduate student projects that work toward solving a challenge identified with a local or global community partner.

Undergraduate Research Opportunities in Science

A compendium of helpful information produced by WISCIENCE, the Wisconsin Institute for Science Education and Community Engagement.

Summer Research Opportunity Program

Explore this exhaustive list for traditionally underrepresented students to work closely with faculty mentors and graduate students in their major discipline.

Welton Summer Sophomore Research Apprenticeship

Develop research skills and explore the process alongside a UW faculty member while laying the groundwork for future research projects.

Holstrom Environmental Scholarship

Apply for financial support for undergraduate research with an environmental focus.

Hilldale Undergraduate/Faculty Research Fellowship

This fellowship supports undergraduate research done in collaboration with UW faculty or research/instructional academic staff.

Undergraduate Symposium

This annual campus event provides opportunities for students to display, perform, or discuss their work in a professional setting.

UW-Madison Libraries

Available 9 a.m.–10 p.m.

Additional Options

• smartphone Call / Text
• voice_chat Consultation Appointment
• place Visit
• email Email

Chat with a Specific library

• Business Library Business Library Chat is Offline
• College Library (Undergraduate) College Library Chat is Offline
• Ebling Library (Health Sciences) Ebling Library Chat is Offline
• Gender and Women's Studies Librarian GWS Library Chat is Offline
• Information School Library (Information Studies) iSchool Library Chat is Offline
• Law Library (Law) Law Library Chat is Offline
• Memorial Library (Humanities & Social Sciences) Memorial Library Chat is Offline
• MERIT Library (Education) MERIT Library Chat is Offline
• Steenbock Library (Agricultural & Life Sciences, Engineering) Steenbock Library Chat is Offline
• Ask a Librarian Hours & Policy
• Library Research Tutorials

Search the for Website expand_more Articles Find articles in journals, magazines, newspapers, and more Catalog Explore books, music, movies, and more Databases Locate databases by title and description Journals Find journal titles UWDC Discover digital collections, images, sound recordings, and more Website Find information on spaces, staff, services, and more

Language website search.

Find information on spaces, staff, and services.

• ASK a Librarian
• Library by Appointment
• Locations & Hours
• Resources by Subject

book Catalog Search

Search the physical and online collections at UW-Madison, UW System libraries, and the Wisconsin Historical Society.

• Available Online
• Print/Physical Items
• Limit to UW-Madison
• Advanced Search
• Browse by...

collections_bookmark Database Search

Find databases subscribed to by UW-Madison Libraries, searchable by title and description.

• Browse by Subject/Type
• Introductory Databases
• Top 10 Databases

article Journal Search

Find journal titles available online and in print.

• Browse by Subject / Title
• Citation Search

description Article Search

Find articles in journals, magazines, newspapers, and more.

• Scholarly (peer-reviewed)
• Open Access
• Library Databases

collections UW Digital Collections Search

Discover digital objects and collections curated by the UW-Digital Collections Center .

• Browse Collections
• Browse UWDC Items
• University of Wisconsin–Madison
• Email/Calendar
• Google Apps
• Loans & Requests
• Poster Printing
• Account Details
• Archives and Special Collections Requests
• Library Room Reservations

Computer Science

Get started, core databases.

• ACM Digital Library (Association for Computing Machinery)
• Applied Science & Technology Full Text
• Conference Proceedings Citation Index: Science
• Google Scholar
• IEEE Xplore
• INSPEC (via Web of Science)
• Lecture Notes in Computer Science
• SpringerLink
• Technology Collection
• Web of Science

See all Computer Science databases

Subject Guides

• Computer Sciences
• Digital Humanities
• Electrical and Computer Engineering Engineering (ECE)
• Generative AI
• Patents and Trademarks
• STEM Policy

• Audio & Video Podcasts
• Student Stories
• Trade Policy
• Press Releases
• WisPolitics

Computer science expert predicts sweeping disruption from AI

A computer science expert with UW-Madison predicts AI advancement will lead to massive disruptions in the “social fabric” of the country and world, in much the same way as the industrial revolution did more than 200 years ago. 

Prof. Patrick McDaniel, the Tsun-Ming Shih Professor of Computer Sciences in the university’s School of Computer, Data and Information Sciences, shared his outlook on the fast-growing technology during a recent Wisconsin Alumni Foundation webinar. 

His experience in this area includes working on a national strategy document around AI for the White House in 2017, when the potential for the technology was becoming more clear. 

“What we’re seeing is the beginning of what we call social disruption … What we’re going to see is a change in the very nature of work,” he said last week. 

Just as the transition from a largely agricultural society to an industrial society led to a huge boost in productivity starting in the late 1700s, McDaniel says market forces resulting from AI being much cheaper than human labor will do the same across many industries. These include health care, finance, insurance, marketing, education, e-commerce, manufacturing and transportation. 

“I wouldn’t look at this as simply a loss, but this is a recalculation, a recalibration of our society. And perhaps leading to a renaissance,” McDaniel said. “What if we could spend much more of our time, the vast majority of our time, in more creative, more inventive, more innovative endeavors?” 

He said AI being applied to labor-intensive industries like trucking will help drive this trend, along with national policies aimed at helping the economy handle the rapid changes he foresees. 

But at the same time, AI is also being applied in the creative realm, as generative software can produce text, pictures and even videos that are increasingly difficult to distinguish from what’s real. 

“This will change the nature of creation, and it will create new opportunities for immense innovation in things like entertainment,” he said. “But it has some downsides, because we have to worry about things like propaganda.” 

And though he conceded that outsourcing certain tasks to smart software will lead to a loss of human expertise gained through experience, McDaniel noted AI will always need to be fed new information and maintained by people. 

He argues the technology “can be extraordinarily fragile” and vulnerable in certain situations, and is far from infallible. For example, AI will often reproduce the biases inherent to human decision making when trained on datasets that are heavily influenced by people, he said.  

“Just handing it over to AI is kind of a popular cliche, but that’s not actually the way AI is going to play out in practice,” he said. “What’s going to happen is … we’re going to get better at watching the AI evolve, and as we do that, we’re going to become much better at thinking about expertise in a broader context.” 

Still, he expects workers “in the lowest skill levels” of the economy will be affected the most by AI-enabled automation. 

“Amazon can spend what they paid one employee a year for to buy a robot that never sleeps, never strikes and lives for some 10 years … so the economics are overwhelming, and so what we’ll see is that massive displacement,” he said. 

Watch the full discussion here . 

RELATED ARTICLES MORE FROM AUTHOR

Wedc board approves up to $15.5m in tax credits for kikkoman expansion, leo cancer care announces deal with treatment center in italy, feds approve first part of state’s bead proposal.

2023 Research Bazaar

UW-Madison’s 2023 Research Bazaar will focus on the theme of Information Insights: Shaping Futures with Data and Computing. It will be held February 22-23 at the UW-Madison Discovery Building (the career panel will also be streamed online).

The Research Bazaar (formerly the Data Science Research Bazaar) is an inclusive, community-building event at UW-Madison for researchers, data scientists, entrepreneurs, and community members, including student s. It is modeled on the internationally occurring Research Bazaar, a worldwide festival promoting the digital literacy emerging at the center of modern research. The aim of these events is to equip researchers from all career stages with the digital skills and tools required to do their research better, faster, and smarter.

Questions? Email us at [email protected] .

Quick Links

• Schedule of Events More
• Sponsors More
• Planning Committee More
• Code of Conduct More
• Previous Research Bazaars More
• Session Recordings More

Schedule of Events

The 2023 Research Bazaar will inspire ideas and discussions about how data and computing can shape futures. This is an abbreviated version of the schedule. A detailed schedule of events , including event descriptions and speaker information, is available in Sched. You will need to register to view the detailed schedule in Sched. We are continuing to finalize event details, so be sure to check back for updates.

February 22, 2023

This is an accordion element with a series of buttons that open and close related content panels.

Welcome and Introduction (9-10 a.m., DeLuca Forum)

• Welcome by Sarah Stevens, Data Science Hub
• Citationality and Granularity in the Future of Digital Humanities Scholarship: the case studies of Digital Mappa 3.0 and the Old English Poetry in Facsimile project. Martin Foys , UW-Madison English Department
• Shaping the future of the Brazilian Amazon with Data Science .  Holly K Gibbs , UW-Madison Department of Geography

Lightning Talks (10 a.m.-12 p.m., DeLuca Forum/Atrium)

Session 1, 10-10:30 a.m. (DeLuca Forum) 1. Collaborator Matching Experiment. Claudia Solis-Lemus 2. Optimization Algorithms Inspired by Nature. Naveen VK 3. Hide-and-Seek: Finding Another Earth Hidden in Starlight. Jessi Cisewski-Kehe 4. Using NVivo to Manage and Interpret Qualitative Data. Tom Durkin 5. LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. Yuchen Zeng 6. The Survey of the Health of Wisconsin: Furthering Health Research in Wisconsin Through Collaboration. Adam Paulsen 7. The Trade-off between Label Efficiency and Universality of Representations from Contrastive Learning. Zhenmei Shi 8. The NIH Data Management & Sharing Policy: Research Data Services Can Help. Trisha Adamus 9. #WhatsHappeningInMyanmar: News After Military Coup. Khine Thant Su

Lightning Talk Discussion, 10:30-11 a.m. (Atrium)

Session 2, 11-11:30 a.m. (DeLuca Forum) 10. Flexible Bayesian Regression for Network-structured Data. Sameer Deshpande 11. Active Cost-aware Labeling of Streaming Data. Ting Cai 12. Growing. Henry Hundt 13. Ultrafast Learning of 4-Node Cycles In Phylogentic Networks using Algebraic Invariants . Zhaoxing Wu 14. Subset Selection – on Robustness and Approximation. Dekun Zhou 15. Learning Analytics: A Feedback Tool for Iterative Design. Jay Winston 16. Research Data Storage Solutions: Easy collaboration and seamless sharing. Mike Layde 17. Identifying Hidden States of Consciousness During Sleep Using MVAR Models. Xinrui Liu 18. Match-making in the Brazilian Amazon: Data Integration to Avoid Deforestation. Matt Christie

Lightning Talk Discussion, 11:30 a.m.-12 p.m. (Atrium)

Lunch (12-1 p.m., Atrium)

Box lunches will be provided. Collaboration matching lunch (Orchard View Room)?

Interactive Discussion and Workshops (1-2:30 p.m.)

Interactive discussions and workshops occur concurrently, and attendees should only plan to attend one.

Interactive Discussion

Research on Research? That’s so Meta. Salima Currimbhoy, Amanda Thornton The Geospatial Community of Practice at UW-Madison: A Moderated Discussion Around Existing Resources, Training, and Campus Geospatial Activity. Ed Boswell, Sarah Graves, Jim Lacy,  Jaime Martindale

Advance Your Research: Scale Out Your Computing. Christina Koch, Rachel Lombardi

Break (2:30-3 p.m.)

Collaboration bazaar (poster session)(3-5 p.m., atrium), poster session.

• LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. Yuchen Zeng
• Using Collaboration to Drive Health Research in Wisconsin. Adam Paulsen
• GitLab: Collaborating Within and Across UW Administrative Units. Susan M. McMillan
• Productivity or Equity? Tradeoffs in Volunteer Microtasking in Humanitarian OpenStreetMap. Yaxuan Yin
• A New Framework for Identifying Statistical Correlation between IceCube Point-Source Data and Tracers of Large-Scale Structure with Nearest Neighbor Distributions. Grant Zhou
• Creating an Institutional Sustainability Data Dashboard. Alex Frank
• NLP Solutions to Readability and Literacy in Tibetan. Dirk Schmidt
• Citation Tips for Greater Visibility of Your Data and Code. Lisa Johnston
• Estimating Building Energy Demand of the University of Wisconsin-Madison. Jaime Garibay-Rodriguez
• Spatial Patterns in U.S. Heat Pump Adoption and Implications for Policies to Promote Just Energy Transitions. Jacob Erickson
• Badgervoltaics: Seeking Collaborators for Agriculture and Solar Energy Project. Josh Arnold
• Assessing Campus Solar Potential with Google Project Sunroof. Josh Arnold
• Identifying Promising Drug Intervention Research Topics using Machine Learning and Co-Citation Network. Salsabil Arabi
• Using NVivo to Manage and Interpret Qualitative Data. Tom Durkin
• Ultrafast Learning of 4-Node Cycles In Phlyogenetic Networks Using Algebraic Invariants. Zhaoxing Wu
• The Trade-off Between Label Efficiency and Universality of Representations From Contrastive Learning. Zhenmei Shi
• The NIH Data Management & Sharing Policy: Research Data Services can Help. Trisha Adamus
• Flexible Bayesian Regression for Network-Structured Data. Sameer Deshpande
• Active Cost-Aware Labeling of Streaming Data. Ting Cai
• Subset Selection: On Robustness and Approximation. Dekun Zhou
• Identifying Hidden States of Consciousness During Sleep Using MVAR Models. Xinrui Liu

Art Exhibit — 3-5 p.m.

Details coming soon!

February 23, 2023

Interactive discussions & workshop (9-10:30 a.m.), interactive discussions.

Big Data in Healthcare. Michaela Roskopf, Sam Cohen

Authoring Collaborative Research Projects Using Quarto. Quinn Asena

Break (10:30-10:45 a.m., Atrium)

Interactive discussions & workshop (10:45 a.m.-12:15 p.m.).

UW Badgervoltaics: Shaping Land-Use Futures by Optimizing for Agricultural and Solar Production . Josh Arnold The Data Science Platform Embraces Diversity in Languages and Environments. Erwin Lares

Data and Code Sharing When you Publish Your Paper: Tips and Tricks From the Other Side. Lisa Charron, Cameron Cook

Lunch On Your Own (12:15-1:15 p.m.)

Lunch is on your own and will not be provided.

Career Panel & Interactive Discussion (1:15-2:45 p.m.)

Career panel.

The Career Panel will feature speakers who represent a variety of data science-related career paths.  This session will be virtual and streamed to the Deluca Forum for in-person attendees.

Interactive Maps as a Tool for Community Building and Discovery . Abe Megahed, Kyle Cranmer

Break (2:45-3 p.m., Atrium)

Closing session (3-4 p.m., de luca forum).

The Research Bazaar will wrap up with a discussion on the theme of this year’s conference. How can we put these ideas into action at UW-Madison and beyond campus? Speakers include:

Moderator: Gavin Luter

• Rahul Chatterjee, UW-Madison Department of Computer Sciences
• Esteban Chiriboga, Great Lakes Indian Fish & Wildlife Commission (GLIFWC)
• Joao Dorea, UW-Madison Department of Animal and Dairy Sciences
• Mariah A. Knowles, UW-Madison Data Science Hub and iSchool
• Jay Winston, UW-Madison Learning Analytics

Closing Reception (4-5 p.m., McArdle Building)

Continue the conversation at a reception hosted by the American Family Insurance Data Science Institute. Space is limited and pre-registration is required. This reception will be held on the 11th floor of the McArdle Building across University Avenue.

We are excited to partner with campus departments and industry for the 2023 Research Bazaar: UW-Madison American Family Insurance Data Science Institute, Department of Computer Sciences, Department of Industrial and Systems Engineering, Department of Statistics, Division of Information Technology, iSchool, Libraries, School of Computer, Data and Information Sciences, School of Medicine and Public Health, and the Technology Entrepreneurship Office; American Family Insurance, Epic, and the Wisconsin Alumni Research Foundation.

UW-Madison sponsors

American Family Insurance Data Science Institute Department of Computer Sciences Department of Industrial and Systems Engineering Department of Statistics Division of Information Technology iSchool Libraries School of Computer, Data and Information Sciences School of Medicine and Public Health Technology Entrepreneurship Office

To make this event truly accessible and offer free registration to all conference participants, we are seeking support from partners like you! Your sponsorship of the Research Bazaar will strengthen our efforts in organizing this conference for the benefit of researchers and data scientists in the Madison area. You will be able to express your support for the Research Bazaar through various opportunities and at different levels of sponsorship—ranging from $250 to $3000—and we will promote your organization during the conference. More information about sponsorship tiers and how you will be represented as a sponsor is available in the links below. 

Contact : If you have any questions about sponsoring this event, please contact us at [email protected] .

Industry Tiers

Nonprofit Tiers

Research Bazaar Planning Committee

The Research Bazaar would not be possible without the efforts of the following Planning Committee members who represent a variety of different fields and disciplines using computing and data science. We appreciate the efforts of these individuals and thank their respective departments/employers for contributing their time.

• Trisha Adamus, School of Medicine and Public Health, Ebling Library
• Ben Ball, Data Science Institute
• Grace Cagle, Soil Science
• Kesong Cao, Department of Psychology
• Cris Carusi, Data Science Institute
• Cameron Cook, Libraries/Research Data Services
• Chris Endemann, Data Science Hub
• Michael Ferris, Computer Sciences
• Vasso Founta, School of Computer, Data, & Information Sciences
• Melissa Godboldt, American Family Insurance
• Andrew Hanus, Illuminating Discovery Hub
• Sheriff Issaka, IssakaAI Technologies
• Ting Jin, Biostatistics and Medical Informatics
• Mariah Knowles, Data Science Hub
• Erwin Lares, Research Cyberinfrastructure
• Shourya Maheshwari, Statistics
• Adam McMillan, Radiology
• Casey Schacher, Science and Engineering Libraries, Research Cyberinfrastructure Team
• Nancy Sheehan, Journey North – UW-Madison Arboretum
• Heather Shimon, Science and Engineering Libraries
• Sarah Stevens, Data Science Hub
• Jason Struck, Social Science Computing Cooperative
• Lana Wood, Parsley Solutions, PBC

Code of Conduct

The Research Bazaar is a learning environment that welcomes everyone: it’s a diverse community from a wide range of backgrounds and interests. To ensure that everyone has an enjoyable and enriching experience, please bring a spirit of respect and friendly inquiry to all of your interactions at the Research Bazaar.

Be friendly and polite.

Be welcoming. The Research Bazaar strives to be a community that welcomes and supports people of all backgrounds and identities. People from all disciplines and stages of their careers are welcome.

Be respectful. Participants come from a huge range of backgrounds and experience levels. Everyone should feel comfortable to ask for the help they need to understand the discussion. Listen and support others to learn. Remember that everyone here has their own field of expertise.

Be kind to others. Be careful in the words that you choose. Do not insult or put down other participants.

Read the full code of conduct and policies on media and harassment here .

Previous Research Bazaars

The Research Bazaar is an annually occurring event, hosted by the Data Science Hub, with the mission of connecting researchers and data science professionals around diverse data science topics. The websites for previous Research Bazaars are linked below.

2022 Data Science Research Bazaar: Data and Communities: Sharing and Protecting Data

2021 Data Science Research Bazaar: Data Science for the Social Good

2020 Data Science Research Bazaar: What’s the Data Science in Your Science?

View Recorded Sessions From the 2022 Research Bazaar

 Click the button below to browse a playlist of all available session recordings (workshops, discussions, and presentations).

Conference Recordings

Wisconsin Science and Computing 

Emerging research stars (wiscers), a research-focused mentorship program for undergraduate students, about the wiscers program.

WISCERS program is an undergraduate mentorship program started in 2021, focused on fostering research participation among undergraduate students at UW-Madison. This program exposes students to research areas in Computer Science, Statistics, and Data Science, facilitates peer mentorship from graduate students working in different areas, and matches students with faculty for summer research internships. Our broad goal is to encourage undergraduate students to apply for research-based graduate programs and specifically help support students from historically underrepresented groups in computing.  

This program was initiated based on and partially funded by an exploreCSR award from Google, in 2021- 2023 . 

CS Research Workshops

The program will feature a kick-off workshop that will include a research showcase by UW faculty and presentations on pursuing graduate studies.

Research Internships

The program will match students with faculty for summer internships, based on their expressed research interest(s).

Peer & Faculty Mentoring

Students will be paired with graduate student peer-mentors and faculty mentors with whom they will be expected to meet on a regular basis (weekly or biweekly).

Monthly Events

In collaboration with WACM and SACM, we will hold monthly events that will help students build a community.

Applications for Spring 2024 are now closed. 

Next cycle of applications will open end of november 2024. , program leaders:.

Jelena Diakonikolas

Assistant professor, CS department

Shivaram Venkataraman

Remzi Arpaci-Dusseau

Professor and department chair

Department of Computer Sciences

Michael Swift

Professor and diversity committee chair Department of Computer Sciences

Partnering Student Groups:

A UW-Madison student chapter of ACM-W.

A UW-Madison student chapter of ACM.

What are the eligibility requirements for this program?

This program is applicable to students who will be graduating in Spring 2024 (i.e., are currently juniors in 4-year programs or sophomores in 3-year programs). We may consider students at other seniority levels on an exceptional basis. This program is primarily intended to increase research participation among students from historically underrepresented groups in computing (in terms of, e.g., gender, race, socio-economic status, and disability status), and students from these groups will be given priority in the selection process.  

Is this program only about computer science? Would you consider students from other majors?

Our focus is on computer science and related areas, such as computer engineering, statistics, information science, and data science. We will consider students from all majors relevant to these areas. We will also consider students from other majors if they show promise and interest in computer science and any of these related areas.

Is there an application fee?

No, this program is completely free. 

When will this program happen?

All of the program activities are planned for Spring 2024. There is a possibility of summer research internships, but this is subject to availability of funds.

When will I hear back about my application?

We will make decisions and send notifications in early/mid January.

What is the overall timeline for this program?

The proposed timeline for the 2023-2024 program is as follows

Dec 31, 2023 Applications are due

By Jan 21, 2024 Notifications sent to students who have been accepted to the program

Jan 26, 2024 : Kick-off workshop

Feb 1-May 15, 2024: Spring semester events including peer mentoring, faculty mentoring, social events, etc.

May 15-Aug 15 2024: Summer internships

Mid-Aug 2024 : End of program 

Will participating in this program increase my chances of getting admitted to graduate school?

While we cannot guarantee admission to any graduate programs, we note that research experience and participation in programs such as this one are generally viewed favorably by graduate admissions committees.

Am I guaranteed a paid summer research internship if I get into this program?

All summer research internships positions are paid at the standard student hourly rate, and are subject to the availability of funding by individual faculty or from university/industry sponsors. Our goal is to provide research internship opportunities to all WISCERS fellows, but we cannot guarantee funding for each of the students. 

Am I guaranteed to be matched with mentors from research area X?

Graduate student and faculty mentors are participating in this program as volunteers. We intend to recruit these mentors from all areas listed in our program description and will make every effort to pair you with mentors from the research area in which you express interest. However, we cannot guarantee that we will be able to pair you with a specific mentor or a specific research area, as this depends on the availability of mentors.

Is participation in all the program activities mandatory?

To fully benefit from a program like this one, we expect you to participate in all of the associated activities. However, we understand that you may occasionally need to miss some of the activities due to other academic or personal commitments.

How many students will be accepted into this program?

We plan to have a cohort of around 15-20 students. 

If I am not a student from UW-Madison can I still apply?

The program will have in-person events at UW-Madison. Thus we encourage applications from students from the Madison/Milwaukee areas but might be able to accommodate students from other parts of Wisconsin as well.

Have More Questions?

Contact [email protected] for more information about the WISCERS program and the application process.

Jim Reardon wins WISCIENCE Lillian Tong Teaching Award

Each year, the University of Wisconsin–Madison recognizes outstanding academic staff members who have excelled in leadership, public service, research and teaching. These exceptional individuals bring the university’s mission to life and ensure that the Wisconsin Idea extends far beyond the campus and the state. Ten employees won awards this year , including Dr. Jim Reardon, Director of Undergraduate Program with the department of physics.

Jim Reardon’s love of running and his excellence as a physics instructor recently came together in the classroom in a big way with Physics 106: The Physics of Sports, a course he developed and now teaches. The new course applies physical principles to competitive sports, helping students better understand athletic performance. It’s proven exceptionally popular, attracting almost 140 students in only its third semester.

Reardon’s expertise at course development, his mastery at instruction and his exemplary support of teaching assistants have made him indispensable to the Physics Department. As director of the undergraduate program, he implemented standardized assessments in the department’s large introductory courses. This provided a baseline for successful course modifications and allowed nationwide peer assessment comparisons. As the administrator of the teaching assistant program, Reardon expertly matches the strengths of TAs with the needs of the department.

Reardon is no less valued in the classroom. Students routinely give him the highest of marks. Writes one, “I have never seen a professor or teacher work so effectively and patiently to ensure his students understood the information.”

“Jim is unique in his broad and ready grasp of the subject matter combined with a passion for teaching and making sure that ALL students have access to that subject matter.”

— Sharon Kahn, graduate program manager, Department of Physics

Carla Schubert Receives Chancellor’s Award for Excellence in Research

Chancellor’s award for excellence in research: critical research support.

Carla Schubert, Researcher III, Department of Population Health Sciences

Schubert, who joined the EpiSense Group in 1998, was key to the 2004 launch of the Beaver Dam Offspring Study, an ongoing longitudinal study with thousands of participants that aims to understand how the senses and the brain age together over time. Her seminal contributions to another large ongoing study, the Epidemiology of Hearing Loss Study, are equally heralded.

Schubert has been integral to an astounding 74 peer-reviewed publications, including 21 as first author. She is internationally recognized as a leading expert on the epidemiology of olfactory impairment.

More recently, Schubert has made novel contributions in the study of human exposure to common neurotoxins, a complex field with implications for public health interventions.

“Carla functions as a true colleague and collaborator, generating new hypotheses and directions for our research, publishing important papers and writing major sections of the grants that support our work.”

— Karen J Cruickshanks, professor emerita, founder of EpiSense Group

The Badger Effect: Alumnus Erik Jacobsen Encourages Embracing Imperfection

“Shipping is a feature.”

The phrase is commonly used among software engineers. And to UW–Madison alumnus Erik Jacobsen ’97, it is the best advice he can give to future software engineers.

“There is always a temptation when developing software to try to make it perfect and put one more thing in prior to shipping it, but you can’t let perfect be the enemy of good enough,” says Jacobsen.

The phrase emphasizes the iterative nature of software development.

“Software development is a continuous process, and it is better to improve things in frequent small increments so users can benefit immediately, rather than releasing infrequently with large changes,” says Jacobsen.

Thanks to Jacobsen’s generosity, the phrase will grace a donor wall in Morgridge Hall, the new School of Computer, Data & Information Sciences building. Jacobsen is part of The Badger Effect , a fundraising campaign highlighting the impact of collective giving. Through their contribution, donors can personalize tiles on a unique donor wall that visually represents the ripple effect Badgers have when they come together.

Thousands of Badgers will walk past the inscription in the new building, serving as a reminder to embrace good enough right now, instead of striving for perfection at an undefined date.

Jacobsen has spent decades developing software, both professionally and personally. He has been interested in computers since 1984, when his mother, the first tenure-track female professor in the history department at UW–Madison, brought home an original IBM PC to help with her research.

He spent a significant amount of time playing with the computer and eventually started writing software.  An interest turned into a job at the age of 16 when he helped a statistics professor with telephone interviewing software.

“I became fascinated with the machine and enthralled with the idea that I could make it do useful things,” says Jacobsen.

Jacobsen eventually chose to study Computer Sciences and Electrical & Computer Engineering at UW–Madison. He recalls the hard work that came along with his majors.

“I had a very different experience than what my mom saw as a history professor. She said she didn’t know that undergrads could work that hard when she saw what we were doing in engineering,” says Jacobsen. “At the time, your personal computer was not powerful enough to run the software we needed for our classes, so we had to be in the lab. We would work all night and even sleep in the labs in the engineering building.”

During his time at UW–Madison, he had the opportunity to intern for Microsoft in Seattle. He was able to get experience working for a large software company and was with the company for the release of Windows 95.

The following summer he had the option to go back to Microsoft but chose to work at a small company started by UW–Madison civil engineering professor Alain Peyrot that wrote software for the utility industry.

After graduation, he received offers from both companies and chose to work for Power Line Systems, the smaller company founded by Alain Peyrot where he could make more of an impact. He started with the company as employee number one.

“We weren’t big enough to have dedicated technical support, so developers had to talk to clients. Talking to users is surprisingly rare in the software industry, but remarkably helpful in learning how to make usable software that benefits them,” says Jacobsen. “Further, having to explain your bugs to users emphasizes the importance of quality.”

Jacobsen has carried this emphasis on quality and doing the most good throughout his career, sharing the sentiment with coworkers and mentees. It is also what drew him to inscribing the phrase “shipping is a feature” on a tile.

“I felt like putting my name on a tile did not do much to help passersby. ‘Shipping is a feature’ has been extraordinarily helpful for me in terms of developing quality software. Hopefully, a few students will see this phrase, be curious, and read a little bit about that philosophy of software development” says Jacobsen.

Jacobsen’s desire to make things better doesn’t stop at software development. After his mother, UW-Madison professor Diane Lindstrom, was diagnosed with ovarian cancer, he wanted to improve health outcomes for women diagnosed with gynecologic cancers.

“I saw the amazing dedication and care provided by the folks at UW Hospital, and I also saw the enormous disparity in resources that are afforded to gynecologic oncology versus other forms of cancer, especially given the number of women who suffer from it and how incredibly poor their prognosis is,” says Jacobsen.

Throughout his mother’s cancer treatment, Jacobsen witnessed firsthand the lack of clinical trials available at the university at the time. While he was able to drive his mother to Chicago for a trial, he recognized that not everyone was able to do the same.

“You should not suffer because you don’t happen to have a research hospital in your backyard, or someone who can drive you to a research hospital,” says Jacobsen. “So, one of the things that interested me was what could we do to increase clinical trial availability here so that more folks have an opportunity after exhausting the standard lines of treatment. We also need a lot more basic science so we can understand what makes ovarian cancer develop and spread.”

In January 2019 he endowed The Diane Lindstrom Ovarian Cancer Research Fund to support the brilliant and dedicated researchers who are trying to detect, treat and prevent ovarian cancer.  The fund works by providing the initial seed funding required to start a project and obtain enough data to write a grant proposal.

Much of his desire for continuous improvement stems from his appreciation for the university.

“We are incredibly fortunate to have the university. It’s an amazing asset for Wisconsin due to the talented faculty and staff who are devoted to improving life for all of us,” says Jacobsen.

Financial Specialist III

• Madison, Wisconsin
• VC FOR RESEARCH AND GRADUATE EDUCATION/AQUATIC SCIENCES CTR-GEN
• Partially Remote
• Staff-Full Time
• Opening at: Apr 23 2024 at 16:05 CDT
• Closing at: May 7 2024 at 23:55 CDT

Job Summary:

Do you like working with financial transactions and purchasing policies? Would you like to be a part of an amazing team that works together to process transactions such as payments to individuals (PIRs) and invoices (DPs), purchasing of supplies, etc., using tools such as Shop@UW+ for research, education and outreach projects for Wisconsin and the Great Lakes? Then, this may be the job for you! The UW Madison Aquatic Sciences Center (ASC) is recruiting for a Financial Specialist. This position works collaboratively with ASC staff and other UW departments to provide financial customer service for the ASC departmental funds along with approximately 75 active sponsored projects (federal and non-federal funds). The position performs financial services for the Center, and is responsible and accountable for proper documentation, controls and the accuracy of each transaction. This position requires knowledge of University, Center and internal agency, state and federal rules and regulations in charging expenses to the accounts, along with purchasing polices for supplies, travel, etc. This position provides advice and interprets rules, regulations, policies, and guidelines for faculty, staff, graduate assistants and scientists. On-going contacts must be maintained with a variety of UW personnel in the offices of Accounts Payable, Procurement, and Office of the Vice Chancellor for Research (OVCR). The position requires a significant amount of independence of action and decision-making. Responsibilities are performed under general direction of the Financial Manager in compliance with university and agency guidelines. All career levels are welcome. Click on the link to learn more about this position and apply by the deadline to be considered for this opportunity! The University of Wisconsin Aquatic Sciences Center (ASC) is a statewide program of multidisciplinary research, education and outreach dedicated to the protection and sustainable use of Wisconsin's water resources - our lakes, rivers, and groundwater as well as coastal waters of Lakes Michigan and Superior. Together with other funding activities compatible with the ASC mission, the Center administers two major multidisciplinary, system-wide research programs - the Sea Grant Institute (SGI), focusing on the protection and sustainable use of the nation's Great Lakes, and the Water Resources Institute (WRI), focusing on solutions to Wisconsin's present and emerging water resources issues. Annually, the Center administers $5.3+ million in federal, state and private funding. Both SGI and WRI function as grant agencies and are the only source of National Oceanic and Atmospheric Administration (NOAA)-Sea Grant and United States Geological Survey (USGS)-Water Resources funding in the state, awarding over $1.6 million in competitive funding annually to Wisconsin public and private universities and colleges. Visit http://www.aqua.wisc.edu  for more information. 

Responsibilities:

• 20% Monitors financial transactions and fund balances and generates and reconciles complex reports and statements in accordance with established rules and regulations
• 15% Reviews and approves complex transactions and assigns funding codes in accordance with established rules, regulations, and policies
• 15% Reallocates expenses to appropriate funding strings
• 5% Drafts communications and reports and maintains organization of varied records to provide administrative support within a specified work unit
• 10% Answers complex fiscal questions and provides information based on set materials and standards to various audiences
• 10% Reviews transaction processing internal controls and recommends policies and procedures
• 5% May train staff on financial processes and best practices
• 20% Miscellaneous related duties including regular meetings with finance team and professional development to advance business practices. Assist with budget review on grant proposals.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Preferred Associate's Degree Associates Degree in Accounting, Finance, Business, or related field preferred but not required.

Qualifications:

Required: - A minimum of one year of prior financial experience, preferably in a higher education setting. - Excellent interpersonal human relations, and oral/written communications skills. - Excellent time management skills and ability to work quickly and accurately with strict deadlines. - Ability to work independently and be self-motivated. - Ability to make a wide variety of decisions, analyzing situations, and exercising good judgment. - Ability to adapt to and apply new and changing methods, requirements, and priorities. - Willingness and initiative to keep knowledge of accounting, finance, software and business technologies up-to-date. - Strong working knowledge of office practices and procedures for record keeping, data collections/retrieval federal and non-federal grant and contract administration. Preferred: - Knowledge of university, state, federal and/or non-federal rules and regulations. - Knowledge of UW and State of Wisconsin purchasing and travel processes, regulations and restrictions on various account types (such as gift, GPR, federal grants, interagency agreements, contracts, etc.) - Demonstrated skills with commercial software and UW programs such as WISER, SHOP@UW+, MS Excel, MS Word, and e-Reimbursement.

Full Time: 100% This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Appointment Type, Duration:

Ongoing/Renewable

Minimum $39,400 ANNUAL (12 months) Depending on Qualifications

Additional Information:

This vacancy is being announced simultaneously with PVL #296352; please note that only two vacancies exist. Having two job postings allows the Aquatic Sciences Center to consider candidates with both Financial Specialist II and Financial Specialist III credentials for these (2) positions. Successful applicants are responsible for ensuring their eligibility to work in the United States (i.e., a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment.

How to Apply:

Applicants must upload a cover letter, resume, and a document listing three names with contact information for references by the assured consideration date.

Tracy Hanke [email protected] 608-262-7618 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Official Title:

Financial Specialist III(FN008)

Department(s):

A34-OVCR/AQUA SCI/SEA GRANT INST

Employment Class:

Academic Staff-Renewable

Job Number:

The university of wisconsin-madison is an equal opportunity and affirmative action employer..

You will be redirected to the application to launch your career momentarily. Thank you!

Frequently Asked Questions

Applicant Tutorial

Disability Accommodations

Pay Transparency Policy Statement

Refer a Friend

You've sent this job to a friend!

Website feedback, questions or accessibility issues: [email protected] .

Learn more about accessibility at UW–Madison .

© 2016–2024 Board of Regents of the University of Wisconsin System • Privacy Statement

The university has paused implementation of the COVID-19 vaccine mandate due to an injunction issued by a federal court. UW–Madison employees remain subject to the COVID-19 Workplace Safety Policy . Please visit covidresponse.wisc.edu for more information.

Student Jobs

University of wisconsin–madison, graduate student research assistant.

Apply now (opens in a new window) Job No: 506993 Division/Organization: School of Human Ecology Department: Consumer Science Job Type: UW Student Assistant Remote Eligbility: Partially Remote Location: Nancy Nicholas Hall Salary/Wage Range or Lump Sum: $31.15/hour, 50% appointment Job Categories: Critical Thinking/Problem Solving, Digital Technology, Teamwork/Collaboration, Professionalism/Work Ethic, Data Analysis, Graduate Assistant-Research

Advertised: April 18, 2024 09:00 AM Central Daylight Time Applications close: May 15, 2024 11:55 PM Central Daylight Time

Back to search results Apply now Refer a friend

We will email you new jobs that match this search.

Ok, we will send you jobs like this.

The email address was invalid, please check for errors.

You must agree to the privacy statement

Search results

Expression of interest, current opportunities.

Powered by PageUp

Our Graduate Degrees & Programs

The Department of Computer Sciences at UW-Madison is a pioneer in computer science research. We’re well established, highly ranked, and our department is regularly singled out for its collaborative spirit. Our award-winning faculty work closely with graduate students, conducting bold research to achieve excellence in computer science. We’re transforming the world through computing. Join us!

Traditional MS/PhD

The Department of Computer Sciences offers the Master of Science and a Doctor of Philosophy in Computer Sciences. Research specialty areas include artificial intelligence, computational biology, computer architecture, computer graphics, computer networks, computer security, database systems, human–computer interaction, numerical analysis, optimization, performance analysis, programming languages and compilers, systems research, and theoretical computer sciences.

• Admissions questions: [email protected]
• PhD program questions: [email protected]
• MS program questions: [email protected]

Professional Master’s CS

The program is designed for professionals who want to pursue an MS degree for more specific CS education, to obtain cutting edge knowledge in the fast-moving field of IT, apply what they’ve learned in their jobs, and who seek career advancement. Students in the program earn an MS degree within two years and can take coursework in many areas: artificial intelligence, computational biology, computer architecture, computer graphics, computer networks, computer security, database systems, human–computer interaction, numerical analysis, optimization, performance analysis, programming languages and compilers, systems research, and theoretical computer sciences.

• Program Details
• Admissions & program questions: [email protected]

Professional Capstone Certificate

If you have obtained a bachelor’s degree in a field other than computer science but now want to learn the fundamentals of computer science so that you can apply for software developer jobs, the Professional Capstone Certificate Program is for you. Students generally use this program to gain introductory computational skills to transfer into a more technical position, use for promotion, or as a way to prepare for a graduate program like the Professional Master’s Program.

• Admission & program questions: [email protected]

MS – Data Engineering

The MS in Data Engineering program focuses on the principles and practices of managing data at scale. It emphasizes the valid and efficient collection, storage, management, and processing of datasets to support computation and data driven systems important to data science and data analytics functions. Given the increasing amounts of data being generated and processed daily, almost all industries need data engineers to build and maintain robust data-handling systems. There is a strong workforce demand for data engineering expertise.

• Admissions & program questions: [email protected]

MS – Data Science (MDS)

The MS Data Science is a joint professional program between the Statistics and Computer Sciences Departments and is administered by the Statistics Department.  The program provides students with abilities in computational and statistical thinking and skills, which may be combined with domain knowledge to address data-rich problems from diverse fields and various industries. Graduates will acquire data science competencies to think critically about data, and to manage, process, model and analyze data to obtain meaning and knowledge, and further to use data in responsible, ethical ways. The curriculum addresses emerging, and rapidly growing areas of applied statistical and computing research and practice. Graduates seek employment as data analysts and data scientists or pursue further education in data science, statistics, computer science, or related quantitative and computational fields.

• Admissions & program questions: [email protected]

Mad UX (User Experience Design Capstone Certificate)

This is a joint program between the Computer Sciences Department and the Information School and is administered by the Information School. Students gain introductory through intermediate user experience skills to plan, design, and assess innovative digital user experiences via digital applications and media. You can complete the certificate entirely online, within one calendar year allowing for balance of your education, work and life.

• Current Students
• Admissions & program questions: [email protected]

Graduate PhD Minor

Graduate students in other PhD programs at UW–Madison who plan to minor in computer sciences should consult with a member of the Computer Sciences Graduate Advising Committee early in their graduate program to ensure acceptance of the minor program. To obtain a doctoral minor, students must earn at least 9 credit hours in computer sciences courses, as well as fulfill other requirements of the minor.

More information

Helpful Links

• Campus Information & Tours More
• Campus Map More
• CS Diversity & Inclusion More
• CS Student Organizations More
• Destination Madison More
• Funding & Financial Aid – CS More
• Funding & Financial Aid – UW-Madison More
• Grad Student Life More
• The Graduate School More
• Housing & Transportation More
• International Student Services More
• Madison, WI More
• Research Groups More
• School of Computer, Data & Information Sciences More
• University Health Services More

Graduate Program Managers

Jenny Greiber

Mad UX - iSchool

Academic Program Manager

[email protected]

Kyle Martinez

Graduate Program Manager

[email protected]

Jinda Moore

MS in Data Science (MDS) - Statistics

Professional Programs Specialist

[email protected]

Nibedita Pattnaik

Graduate Academic Program Specialist - PCP

[email protected]

Chloe Prosser

Graduate Program Admissions and Recruitment

[email protected]

Mollie Stolbov

Traditional MS/PhD Program, Computer Sciences

Graduate Program Manager - MS

[email protected]

Angela Thorp

Graduate Program Manager - PhD

[email protected]

608-262-7967

Rm 4297 Computer Sciences Building