| TBA |
|
|
631 |
Data -Intensive Dist. Analytics |
| TBA |
|
|
636 |
Intro. To Networks & Distr Syst |
| TBA |
PLG |
|
642 |
Principals of Prog Language |
| TBA |
PLG |
|
644 |
Compiler Construction |
| TBA |
SE |
|
645 |
Software Req Specif & Analysis |
| TBA |
|
|
646 |
Software Design, Architectures |
| TBA |
SE |
|
647 |
Software Test/Qual Assur/Maint |
| TBA |
DB |
|
648 |
Database System Implementation |
| TBA |
Systems |
|
650 |
Computer Architecture |
| TBA |
Systems |
|
651 |
Data-Intensive Distrib Comput |
| TBA |
Systems |
|
654 - 001 |
Distributed Systems |
| TBA |
Systems |
|
654 - 002 |
Distributed Systems |
| TBA |
Systems |
|
656 - 001 |
Computer Networks |
| TBA |
Systems |
|
656 - 002 |
Computer Networks |
| TBA |
Systems |
|
658 - 001 |
Computer Security and Privacy |
| TBA |
Systems |
|
658 - 002 |
Computer Security and Privacy |
| TBA |
ALG |
|
662 |
Formal Languages & Parsing |
| TBA |
SCICOM |
|
676 |
Num Comp for Fin Modeling |
| TBA |
COMPSTAT |
|
680 - 001 |
Intro to Machine Learning |
| TBA |
COMPSTAT |
|
680 - 002 |
Intro to Machine Learning |
| TBA |
BIOINF |
|
682 |
Comp Tech: Biol Sequience Anal |
| TBA |
COMPSTAT |
|
685 |
Machine Learning |
| TBA |
AI |
|
686 - 001 |
Intro Artificial Intelligence |
| TBA |
AI |
|
686 - 002 |
Intro Artificial Intelligence |
| TBA |
|
|
687 |
Intro to Symbolic Computation |
| TBA |
GRAPH |
|
688 |
Intro to Computer Graphics |
| TBA |
|
|
698 - 001 |
Computational Audio |
| TBA |
SciCom / AI |
|
698 - 002 |
Neural Networks |
| S. Mann |
SSC |
linear algebra and a reasonable level of comfort with mathematics |
779 |
Splines and Their Use in Computer Graphics |
| H. Chen |
|
|
792 - 001 |
Data Structures and Standards |
| H. Chen |
|
|
CS 792 Course syllabus |
Data Structures and Standards |
| R. Boutaba |
HS |
Knowledge of computer networking is preferred |
CS 798 - 001 |
Advanced Network Architectures |
| R. Boutaba |
HS |
Knowledge of computer networking is preferred |
CS 798 - 002 |
Network Softwarization |
| C. Sun |
SE |
Open background |
CS 846 |
Advanced Topics in Software Engineering: |
| G. Cormack |
DB |
|
848 - 001 |
Privacy & Fairness in Data Sci |
| S. Salihoglu |
DB |
Open background |
848 - 002 |
Graph Data Management |
| I. Ilyas |
DB |
|
848 - 003 |
Machine Learning for Data Cleaning |
| A. Mashtizadeh |
|
|
854 |
|
| Y. Aafer |
AC |
Basic background in operating systems is assumed. Prior security background is helpful but not necessary |
858 |
Topics on Mobile Platform Security |
| J. Shallit |
AC |
General familiarity with undergraduate number theory, combinatorics, and automata theory will be helpful, but is not required |
CS 860 Course Syllabus |
Automatic Sequences |
| E. Blais |
AC |
|
CS 860 |
Concentration Inequalities in Computer Science |
| S. Ben-David |
AI |
Background in CS theory and some basic previous exposure to machine learning |
886 - 001 |
Interpretability and safe of machine learning based decision making tools |
| M. Li |
AI |
|
886 - 002 |
Is Deep Learning right for NLP? |
| |
GUI |
Open background |
889 - 001 |
Advanced Topics in Human Computer Interaction: Information Visualization |
| E. Law |
GUI |
|
889 - 002 |
Conversational Agents |
| G. Baranoski |
|
Open background |
CS 898 |
On the Synergy between CS and Biology |
