Interested in Graduate-Level Courses?

Undergrad Request Form Now Available!

Comp Sci courses numbered 700 and above are graduate-level courses and are restricted to graduate students. However, if space allows after all grad students have had a chance to enroll, there is a small chance that undergraduates may be allowed into some of our grad-level courses.

To request permission to enroll in a graduate-level Comp Sci course managed by the Department of Computer Sciences, please complete this request form: https://forms.gle/S7K7kx6dohjCEo2y9 

Undergraduates who are given an exception to enroll in a graduate-level course will be notified by the end of December, provided seats are still available.

COMPSCI 368 Lecture 005: Python for Java Learners

Description: Python for Java Learners is a 1-credit, ungraded programming language course that students take for credit/no credit.  This course is a good fit for students who have deep knowledge of another object-oriented programming language, such as Java, and desire to learn the fundamentals of Python.  Students who enroll in this course should have completed CS 300, or should have a deep knowledge of some other object-oriented programming language. This course is not a replacement for CS220 or CS320 in that it does not focus on creating programs to process datasets. 

COMPSCI 639 Lecture 001: Foundations of Data Science

Instructor: Jelena Diakonikolas

Description: This course teaches theoretical foundations of data science, focusing on the computational aspects. The tentative list of topics includes: Gaussian random variables, central limit theorem, and concentration inequalities; applications of concentration inequalities in statistical learning; null hypothesis significance testing, p-values, multiple hypothesis testing, false discovery rates, A/B testing, causality; maximum likelihood estimation; bootstrap; linear regression and classification, cross-validation, model selection; optimization with gradient descent and stochastic gradient descent. Course will also have examples and a programming component in Python. Python programming is not covered by this course; having taken either classes that cover Python programming or some of the introductory CS programming classes is assumed.

Prerequisites:

A course in linear algebra (Math 320, 340, 341, or 375)

AND

A course in probability/stats (MATH/STAT 309 or MATH/STAT 310 or STAT 311 or STAT 312 or STAT 324 or MATH/STAT 431 or CS/STAT 471)

OR

Instructor consent

To see the Spring 2022 version of the course: Click Here

COMPSCI 639 Lecture 002: Deep Learning for Computer Vision

Instructor: Yong Jae Lee

Description: Computer vision is the study of enabling machines to understand the visual world (i.e., images and videos), and has applications in content-based search, healthcare, autonomous vehicles, etc., with visual recognition tasks like image classification, object detection, and segmentation being core to many of those applications. Over the past decade, deep learning has greatly advanced the state-of-the-art in computer vision research. This upper-division undergraduate course will dive into the fundamentals of deep learning for computer vision. Students will learn to implement deep neural networks and learn about the state-of-the-art computer vision research in a broad range of topics including object recognition, activity recognition, and scene understanding.

Prerequisites:

(COMP SCI 300, 320 or 367)

And

(MATH 211, 217, 221, or 275)

And

(MATH 320, 340, 341, 375, or M E/COMP SCI/E C E 532)

COMPSCI 639 Lecture 004: Intro to Big Data Systems

Instructor: Tyler Caraza-Harter

Description: Deploy and use distributed systems to store and analyze large datasets. Unstructured (object storage) and structured (distributed databases) approaches to storage will be covered. Analysis will involve learning new query languages, processing streaming data, and training machine learning models. Systems covered include: Docker, PyTorch, HDFS, Spark, Cassandra, Kafka, and more.  

Prerequisites:

(CS 320 OR CS 400.)

 Are you a CS major graduating this semester (Fall 2022)?

If so, don't forget to RSVP to the Computer Sciences Graduation Reception held Sunday, December 18th, 2022 at 1:30 PM at Gordon Dining & Event Center. 

Deadline to RSVP: Monday December 1st.

To access the form, you must log-in using your @wisc.edu google account. Make sure you are logged out of any other google accounts.

Badgerfly Recruiting Engineering and CS Students

"Men In Conversation" Panel Discussion:

Success and Stress

Thinking Ahead: MS Statistics, Statistics and Data Science (MSDS) Information Session

Thinking Ahead: MS Data Science (MDS) Information Session

Thinking Ahead: Digital Studies Certificate

Thinking Ahead: Carnegie Mellon Master's of Information Technology Strategy Info Sessions

Thinking Ahead: 2023 Research Fellowship in Law and Natural Language Processing at Stanford University

Professor Julian Nyarko at Stanford Law School is seeking a full-time Research Fellow to begin work in the summer of 2023. The fellowship offers a unique opportunity for graduating seniors and recent college graduates to participate in research at the intersection of natural language processing, law, and the social sciences.

As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including medical, dental, and vision insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

Link to full job posting: HERE

CS Internships Abroad with IIP!

The International Internship Program offers international internships with organizations all over the world. Applications are open for virtual spring internships and some in-person summer internships! 

Spring virtual internships and in-person summer opportunities for CS students: (Deadlines vary)

• FIEN Foundation (Tanzania) Virtual Web Design Internship (December 4 deadline)
• Health Access Connect (Uganda) Media & Evaluation Internship (December 4 deadline)
• Poatek Software Development & Data Science Internship in Brazil. IT Consulting & Software firm providing $1500/month stipend, airfare & housing (December 11 deadline)
• UTokyo Summer Internship Program in Kashiwa, Japan. Scholarship provided (January 6 deadline)
• Infosys Instep Internship in India. Compensation provided (January 2023 deadline)
• Sakae Internship Program in Japan. Airfare and housing provided (Rolling deadline)

Have more questions or want more information? Get in touch with us at internships@international.wisc.edu or make an appointment

2023 Computational Research/Bioinformatics Position Available in the Hess Lab!

The Hess Lab is looking for a highly motivated undergraduate for a computational research/bioinformatics position starting in the 2023 Spring Semester. Our lab is focused on both identifying factors that modify therapeutic response as well as developing strategies to improve treatment efficacy. We address these questions using high-throughput screening (e.g. CRISPR, peptide libraries, etc.). The position will consist of database mining to design nucleotide libraries as well as analysis of next-generation sequencing data and other genomics databases.

We are located in the Wedge at WIMR and are part of the Center for Human Genomics and Precision Medicine. We require a commitment of ~8-12 hours/week for research credit. Proficiency with python and/or R is strongly preferred.

Interested candidates should send their resume and cover letter describing their interests and any relevant previous experience to ghess3@wisc.edu

Programming Job Available in the Neuroscience Department!

We are looking for an experienced computer programmer to expand an existing data acquisition/analysis computer program developed in this lab and currently in use. We need to have this program converted for use with different hardware. The person should know C++ and be knowledgeable about using computers to control cameras and acquire images. Employment is for this specific purpose and should require 6-12 months. The job is in a neuroscience lab that uses imaging techniques to study neural circuitry.

Applications can be submitted through student employment:

https://studentjobs.hr.wisc.edu/cw/en-us/job/503690

OR

Contact Meyer Jackson (meyer.jackson@wisc.edu) in the Neuroscience Department with a copy of their résumé.

Internship and Co-op Positions at Sargento

Sargento is offering two IT internships and one co-op starting in May 2023. Sargento offers paid relocation and housing for all interns and co-ops and competitive wages starting at $20+/hr. Sargento interns and co-ops lead and own 2-3 meaningful and significant projects. Check the links below for more information:

Hosting Services Intern: 

https://careers.sargento.com/us/en/job/SFINUS1437EXTERNALENUS/Hosting-Services-Intern

Digital Workplace Intern:

https://careers.sargento.com/us/en/job/SFINUS1438EXTERNALENUS/IT-Digital-Workplace-Intern

Cyber Security Co-Op:

https://careers.sargento.com/us/en/job/SFINUS1432EXTERNALENUS/Cyber-Security-Co-Op

All Internships and Co-Ops: 

https://careers.sargento.com/us/en/c/students-jobs