Discipline ID
bf91b86a-62db-4996-b583-29c1ffe6e71e
COURSE DETAIL
QUANTUM MACHINE LEARNING
Country
Korea, South
Host Institution
Yonsei University
Program(s)
Yonsei University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
106
UCEAP Course Suffix
UCEAP Official Title
QUANTUM MACHINE LEARNING
UCEAP Transcript Title
QUANTM MACHINE LRNG
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course covers the essence of quantum computing and various quantum machine learning techniques. It also covers the theoretical backgrounds so students can apply the principles of quantum computing in solving various challenges of modern data science problems.
Language(s) of Instruction
English
Host Institution Course Number
STA4121
Host Institution Course Title
QUANTUM MACHINE LEARNING
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Course Last Reviewed
2022-2023
COURSE DETAIL
BIOLOGICALLY INSPIRED COMPUTING
Country
Norway
Host Institution
University of Oslo
Program(s)
University of Oslo
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
103
UCEAP Course Suffix
UCEAP Official Title
BIOLOGICALLY INSPIRED COMPUTING
UCEAP Transcript Title
BIOL INSPIRED COMP
UCEAP Quarter Units
8.00
UCEAP Semester Units
5.30
Course Description
This course offers an introduction to self-adapting methods also known as artificial intelligence or machine learning. Students study schemes for classification, search and optimization based on bio-inspired mechanisms, evolutionary computation, and artificial neural networks. This includes specialized approaches such as swarm intelligence and artificial immune systems. The course also provides an overview of alternative traditional methods.
Language(s) of Instruction
English
Host Institution Course Number
INF3490
Host Institution Course Title
BIOLOGICALLY INSPIRED COMPUTING
Host Institution Course Details
Host Institution Campus
Mathematics and Natural Sciences
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatics
Course Last Reviewed
COURSE DETAIL
INTERNET AND PRIVACY
Country
Germany
Host Institution
Technical University Berlin
Program(s)
Technical University Berlin
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
124
UCEAP Course Suffix
UCEAP Official Title
INTERNET AND PRIVACY
UCEAP Transcript Title
INTERNET & PRIVACY
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
The use of the Internet is accompanied by extensive transfers of private data to hard-to-survey data management and non-transparent institutions. This lecture series "Internet and Privacy" strives to explain the details of Internet usage rarely known by the general public, and to support the debate on a solid, factual basis. It seeks to help optimize the tremendous benefits of the Internet, while preserving informational self-determination and pointing out alternatives to conventional techniques.
Language(s) of Instruction
German
Host Institution Course Number
Host Institution Course Title
INTERNET UND PRIVATHEIT
Host Institution Course Details
Host Institution Campus
FAKULTÄT VII WIRTSCHAFT UND MANAGEMENT
Host Institution Faculty
Host Institution Degree
Host Institution Department
Technologie und Management
Course Last Reviewed
COURSE DETAIL
DESIGN OF WIRELESS COMMUNICATION NETWORKS
Country
Taiwan
Host Institution
National Taiwan University
Program(s)
National Taiwan University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
100
UCEAP Course Suffix
UCEAP Official Title
DESIGN OF WIRELESS COMMUNICATION NETWORKS
UCEAP Transcript Title
WIRELESS NETWORKS
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course examines in-depth wireless communication systems and their protocols. It focuses on the design rationales of communication protocols, the overall network architectures and performance evaluation of complicated wireless systems so that students are capable of designing next-generation communications systems through rigorous simulation and mathematical analysis. In addition, the course introduces the IEEE 802.15.4 experiment test bed for hands-on experiments. Students learn from hands-on experimentation the design of wireless protocols and thus how to develop new applications in wireless networking. Course topics include: modular communication systems and protocol design; experiment and algorithm development in IEEE 802.15.4 platform; network and MAC protocol designs for personal and local area networks; mathematical modeling for communication systems and protocols; physical and MAC protocol designs for mobile and wide area networks; cross layer design and optimization for emerging wireless communication systems.
Language(s) of Instruction
English
Host Institution Course Number
CommE5039
Host Institution Course Title
DESIGN OF WIRELESS COMMUNICATION NETWORKS
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Communication Engineering
Course Last Reviewed
2022-2023
COURSE DETAIL
COMPUTER NETWORKS
Country
Spain
Host Institution
Complutense University of Madrid
Program(s)
Complutense University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
124
UCEAP Course Suffix
E
UCEAP Official Title
COMPUTER NETWORKS
UCEAP Transcript Title
COMPUTER NETWORKS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course offers a study of computer networks. Topics include: concepts of data transmission; network infrastructures; network layer and Internet Protocol; transport layer and network services and applications. .
Language(s) of Instruction
English
Host Institution Course Number
803269
Host Institution Course Title
REDES
Host Institution Course Details
Host Institution Campus
Moncloa
Host Institution Faculty
Facultad de Informática
Host Institution Degree
GRADO EN INGENIERÍA INFORMÁTICA
Host Institution Department
Departamento de Arquitectura de Computadores y Automática
Course Last Reviewed
2021-2022
COURSE DETAIL
PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT, AND FINANCE
Country
Italy
Host Institution
University of Commerce Luigi Bocconi
Program(s)
Bocconi University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Computer Science
UCEAP Course Number
115
UCEAP Course Suffix
UCEAP Official Title
PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT, AND FINANCE
UCEAP Transcript Title
PYTHON PRGMING:ECON
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course offers students an introduction to object-oriented and procedural programming, using Python. Most models and examples are taken from Economics, Management, and Finance. The course discusses topics including primitive types and class types; recursion and functions such as procedures and fruitful functions; basic statements such as assignment, if-statements, loops, blocks, and function calls; objects and classes including subclasses, inheritance, and overriding; sequences and dictionaries; testing and debugging; program development, stepwise refinement (top-down design), and object-oriented design; databases; examples of full featured applications; and programming style considerations. The course consists of lectures, exercises, case studies, and individual and group assignments. The course requires students to have completed an introductory course on programming as a prerequisite.
Language(s) of Instruction
English
Host Institution Course Number
30517
Host Institution Course Title
PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT AND FINANCE
Host Institution Course Details
Host Institution Campus
University of Commerce Luigi Bocconi
Host Institution Faculty
Host Institution Degree
Host Institution Department
Decision Sciences
Course Last Reviewed
COURSE DETAIL
COMMUNICATION NETWORKS
Country
Korea, South
Host Institution
Yonsei University
Program(s)
Yonsei University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Electrical Engineering
Computer Science
UCEAP Course Number
134
UCEAP Course Suffix
UCEAP Official Title
COMMUNICATION NETWORKS
UCEAP Transcript Title
COMM NETWORKS
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
The course provides a top-down overview of the basic principles in computer networking. Topics includes Internet, Wireless LAN, security and other communication network principles and theories. Basically, it's (extended) communication theory in broader sense. The course also covers Computer Network & Internet: overview of TCP/IP, Application Layer: HTTP, FTP, DNS, Web server, Transport Layer: UDP, TCP, Network Layer & Routing, Link Layer & LAN, Wireless LAN, Multimedia Networking, and Network Security.
Language(s) of Instruction
English
Host Institution Course Number
EEE3450
Host Institution Course Title
COMMUNICATION NETWORKS
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Electrical and Electronics Engineering
Course Last Reviewed
COURSE DETAIL
DATA MINING, TEXT MINING, AND BIG DATA ANALYTICS
Country
Italy
Host Institution
University of Bologna
Program(s)
University of Bologna
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
170
UCEAP Course Suffix
UCEAP Official Title
DATA MINING, TEXT MINING, AND BIG DATA ANALYTICS
UCEAP Transcript Title
DATA MINING
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course is part of the LM degree program and is intended for advanced level students. Enrollment is by consent of the instructor. The course discusses how a large set of data can be analyzed to derive strategic information and to address data-driven decisions. The course examines the main data-mining tasks such as data selection, data transformation, analysis, and interpretation, with specific reference to unstructured text data, and with the issues related to analysis in big data environments.
Language(s) of Instruction
English
Host Institution Course Number
91262
Host Institution Course Title
DATA MINING , TEXT MINING AND BIG DATA ANALYTICS
Host Institution Course Details
Host Institution Campus
BOLOGNA
Host Institution Faculty
Host Institution Degree
LM in ARTIFICIAL INTELLIGENCE
Host Institution Department
COMPUTER SCIENCE AND ENGINEERING
Course Last Reviewed
2022-2023
COURSE DETAIL
INTRODUCTION TO PROGRAMMING
Country
Brazil
Host Institution
Pontifical Catholic University of Rio de Janeiro
Program(s)
Pontifical Catholic University of Rio de Janeiro
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
14
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO PROGRAMMING
UCEAP Transcript Title
INTRO PROGRAMMING
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course offers an introduction to computers and imperative programming languages. Topics include: variables, expressions, and functions; iteration and conditional control flow; basic and structured values; functions and recursion; files.
Language(s) of Instruction
Portuguese
Host Institution Course Number
INF 1025
Host Institution Course Title
INTRODUÇÃO À PROGRAMAÇÃO
Host Institution Course Details
Host Institution Campus
PUC-Rio
Host Institution Faculty
Host Institution Degree
Host Institution Department
Departamento de Engenharia Elétrica
Course Last Reviewed
COURSE DETAIL
PROGRAM ANALYSIS
Country
United Kingdom - England
Host Institution
University of Sussex
Program(s)
University of Sussex
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
103
UCEAP Course Suffix
UCEAP Official Title
PROGRAM ANALYSIS
UCEAP Transcript Title
PROGRAM ANALYSIS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course introduces the design and analysis of algorithms. Students examine topics including the use of big-O notation to characterize an algorithm's running time, invariants as a way of specifying how an algorithm solves a problem, and alternative approaches to the design of algorithms for different kinds of problems, such as including divideandconquer, greedy methods, and dynamic programming. Students use a range of illustrative problems, such as sorting, string-matching, and several standard graph algorithms.
Language(s) of Instruction
English
Host Institution Course Number
G6017
Host Institution Course Title
PROGRAM ANALYSIS
Host Institution Course Details
Host Institution Campus
University of Sussex
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatics
Course Last Reviewed