Special Topics in Computer Science
Overview
Subject area
CSCI
Catalog Number
381
Course Title
Special Topics in Computer Science
Department(s)
Description
See Department for Description. Permission of the department required.
Typically Offered
Fall, Spring
Academic Career
Undergraduate
Liberal Arts
Yes
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
Yes
Total Completions Allowed
99
Components
Name
Lecture
Hours
3
Course Topic ID
1
Formal Description
Advanced OOP in C++
Course Topic ID
2
Formal Description
Biometric Security & Privacy
Course Topic ID
3
Formal Description
Genetic Algorithms
Course Topic ID
4
Formal Description
HCI & Accessibility Tech
Course Topic ID
5
Formal Description
Heterogeneous Distributed App
Course Topic ID
6
Formal Description
Image Processing
Course Topic ID
7
Formal Description
Info & Computer Security
Course Topic ID
8
Formal Description
Internet Security
Course Topic ID
9
Formal Description
Machine Learning
Course Topic ID
10
Formal Description
Natural Lang Processing
Course Topic ID
11
Formal Description
Quantum Computing
Course Topic ID
12
Formal Description
Randomized Algorithms
Course Topic ID
13
Formal Description
Software Development
Course Topic ID
14
Formal Description
Spatio-Temporal Modeling & DBs
Course Topic ID
15
Formal Description
VoIP / Wireless LAN
Course Topic ID
16
Formal Description
Spoken Lang Processing
Course Topic ID
17
Formal Description
Web-Scale Info Extraction
Course Topic ID
18
Formal Description
Computer Vision
Course Topic ID
19
Formal Description
Python Prog & Text Processing
Course Topic ID
20
Formal Description
Robotics
Course Topic ID
21
Formal Description
Graphical Models
Course Topic ID
22
Formal Description
Advanced Prog Techniques
Course Topic ID
23
Formal Description
Cryptography II
Course Topic ID
24
Formal Description
Computer Networking & Internet
Course Topic ID
25
Formal Description
Mach Learning in Quant Fin
Course Topic ID
26
Formal Description
Topics in Cryptography
Course Topic ID
27
Formal Description
Optical Char Recognition
Course Topic ID
28
Formal Description
Graphical Model and Applications
Course Topic ID
29
Formal Description
User Interface Design
Course Topic ID
30
Formal Description
Business Intelligence
Course Topic ID
31
Formal Description
Mchn Lrng in Image Analysis
Course Topic ID
32
Formal Description
Structured Learning
Course Topic ID
33
Formal Description
Approximation Algorithms
Course Topic ID
34
Formal Description
Modeling and Simulation
Course Topic ID
35
Formal Description
Algorithms for Big Data
Course Topic ID
36
Formal Description
Computability and Complexity
Course Topic ID
37
Formal Description
Data Analytics
Course Topic ID
38
Formal Description
Machine Learning for NLP
Course Topic ID
39
Formal Description
Biomedical Image Analysis
Course Topic ID
40
Formal Description
Linear Operators
Course Topic ID
41
Formal Description
Cloud Computing
Course Topic ID
42
Formal Description
Applied Cloud Computing
Course Topic ID
43
Formal Description
Python Programming
Course Topic ID
44
Formal Description
Parallel and Distributed Computing
Course Topic ID
45
Formal Description
Data Modelling
Course Topic ID
46
Formal Description
Advanced Python Programming
Course Topic ID
47
Formal Description
Applied Machine Learning for NLP
Course Topic ID
48
Formal Description
Applied Databases
Course Topic ID
49
Formal Description
Applied Data Science
Course Topic ID
50
Formal Description
Simulations in Technology Operations
Course Topic ID
51
Formal Description
Post Quantum Cryptography
Course Topic ID
52
Formal Description
Information Theory and Error Correcting Codes
Course Topic ID
53
Formal Description
SQL Programming and Modern ERD Modeling