CS 491

Fall 2020 All Classes

All Classes

Credit: 0 TO 4 hours.

Seminar on topics of current interest as announced in the Class Schedule.

0 to 4 undergraduate hours. 0 to 4 graduate hours. Approved for S/U grading only. May be repeated in the same or separate terms if topics vary to a maximum of 4 hours. Prerequisite: As specified for each topic offering, see Class Schedule or departmental course description.

CS 491 class schedule data for fall 2020
CRN Type Section Time Day Location Instructor Section Details
65816
Online Lab
CAP
9:30AM -10:45AM
MW
n.a.
Beckman, M
Part of Term:
1
Date Range:
08/24/20-12/09/20
Credit:
3 hours
Section Title:
Adv Competitive Algorithm Prog
Section Info:
There will be asynchronous recorded lectures and additional synchronous online activities. Title: Introduction to Competitive Algorithmic Programming This course introduces the algorithms and concepts necessary to compete effectively in the ACM International Collegiate Programming Contest (ICPC) and similar contests. It is highly recommended for students intending to compete in the 2016 ICPC Mid-Central Regional contest. The course requires participation in practice contests and weekly completion of short problem sets. Topics covered include standard library classes and data structures useful for programming contest problems, basic complexity analysis, dynamic programming, graph algorithms, number theory, combinatorics, computational geometry, combinatorial games, and competitive programming contest strategy. Prerequisites: Must have programming competency in Java or C++ and preferably have taken CS 225 Data Structures.
Restriction(s):
Not intended for First Time Freshman students.
54321
Online
CB
4:50PM -6:00PM
T
n.a.
Bashir, M
Part of Term:
1
Date Range:
08/24/20-12/09/20
Special Approval:
Instructor Approval Required
Credit:
2 hours
Section Title:
Cyber Security Scholar Program
Section Info:
All class meetings will be online and synchronous. Topic: Information Assurance and Trust Seminar. This course is an undergraduate seminar for students admitted to the Illinois Cyber Security Scholar Program. In addition, this course would be open and serve as an orientation seminar to all college of engineering undergraduate student interested in topics of information assurance and trust. The seminars will feature information assurance subject matter expert guest speakers from industry and government, community leaders, distinguished external researchers, faculty, and students discussing both the technical challenges and limitations of IA. Standard information assurance topics such as authentication, data integrity, ethics, and cyber security will be covered. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister
Restriction(s):
Not intended for First Time Freshman students.
43827
Lecture-Discussion
PD
5:00PM -5:50PM
W
ARR Siebel Center for Comp Sci
Amato, N
Part of Term:
1
Date Range:
08/24/20-12/09/20
Credit:
1 hours
Section Title:
Professional Development
Section Info:
The goal of this course is to inform students about a variety of career-oriented topics in computer science and assist them in planning and preparing for the next step in their career. This will cover career opportunities and pathways for those with undergraduate and/or graduate degrees in computer science and will include discussion of aspects of graduate studies such as admissions, funding, and success in graduate school. The course will also cover practical issues such as internships, resumes/CVs, finding a job, interviewing, job negotiations, company work environments. Presentations about these topics will involve a variety of invited speakers in an interactive seminar environment.
40557
Online
PDO
5:00PM -5:50PM
W
n.a.
Amato, N
Part of Term:
1
Date Range:
08/24/20-12/09/20
Credit:
1 hours
Section Title:
Professional Development
Section Info:
The goal of this course is to inform students about a variety of career-oriented topics in computer science and assist them in planning and preparing for the next step in their career. This will cover career opportunities and pathways for those with undergraduate and/or graduate degrees in computer science and will include discussion of aspects of graduate studies such as admissions, funding, and success in graduate school. The course will also cover practical issues such as internships, resumes/CVs, finding a job, interviewing, job negotiations, company work environments. Presentations about these topics will involve a variety of invited speakers in an interactive seminar environment. This section will be taught asynchronous online.
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