Discipline ID
bf91b86a-62db-4996-b583-29c1ffe6e71e
COURSE DETAIL
WEB APPLICATIONS
Country
Spain
Host Institution
Carlos III University of Madrid
Program(s)
Carlos III University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
136
UCEAP Course Suffix
UCEAP Official Title
WEB APPLICATIONS
UCEAP Transcript Title
WEB APPLICATIONS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course offers a study of web applications. Topics include: transport layer security (TLS); hypertext transfer protocol (HTTP); content presentation languages (HTML and CSS); client-side programming languages; model-view-controller pattern; security; scalability; advanced technologies.
Language(s) of Instruction
English
Host Institution Course Number
16497
Host Institution Course Title
APLICACIONES WEB
Host Institution Course Details
Host Institution Campus
Leganés
Host Institution Faculty
Escuela Politécnica Superior
Host Institution Degree
Grado en Ciencia e Ingeniería de Datos
Host Institution Department
Departamento de Ingeniería Telemática
Course Last Reviewed
2022-2023
COURSE DETAIL
SIGNALS AND SYSTEMS
Country
United Kingdom - England
Host Institution
King's College London
Program(s)
King's College London
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
114
UCEAP Course Suffix
N
UCEAP Official Title
SIGNALS AND SYSTEMS
UCEAP Transcript Title
SIGNALS & SYSTEMS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course introduces the theory of signal and linear systems; the concepts of modeling, description, and classification of signals and systems; and specific methods of signal processing.
Language(s) of Instruction
English
Host Institution Course Number
5CCYB020
Host Institution Course Title
SIGNALS AND SYSTEMS
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Course Last Reviewed
2021-2022
COURSE DETAIL
COMPUTER GRAPHICS
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
135
UCEAP Course Suffix
UCEAP Official Title
COMPUTER GRAPHICS
UCEAP Transcript Title
COMPUTER GRAPHICS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
3D graphics is concerned with how images can be generated from abstract descriptions of objects. Representations of three-dimensional geometry should be projected to a two-dimensional plane and by simulating the interaction between light and matter the object surfaces can be realistically shaded. With moving images, it is also necessary to control how objects move and change appearance over time. And when building interactive virtual worlds, objects must also be able to respond to external events.
Language(s) of Instruction
English
Host Institution Course Number
EDAF80
Host Institution Course Title
COMPUTER GRAPHICS
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Engineering
Host Institution Degree
Host Institution Department
Engineering - Computer Science
Course Last Reviewed
2022-2023
COURSE DETAIL
USER INTERFACE DESIGN
Country
New Zealand
Host Institution
Victoria University of Wellington
Program(s)
Victoria University of Wellington
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
114
UCEAP Course Suffix
UCEAP Official Title
USER INTERFACE DESIGN
UCEAP Transcript Title
USER INTRFACE DESGN
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course addresses the design and engineering of user interfaces. It presents principles and guidelines for design and covers a range of design processes. The course covers techniques for testing user interfaces, and considers a variety of user interface styles and interface devices.
Language(s) of Instruction
English
Host Institution Course Number
SWEN303
Host Institution Course Title
USER INTERFACE DESIGN
Host Institution Course Details
Host Institution Campus
Wellington
Host Institution Faculty
Host Institution Degree
Host Institution Department
Computer Science
Course Last Reviewed
COURSE DETAIL
USER INTERFACES
Country
Spain
Host Institution
Carlos III University of Madrid
Program(s)
Carlos III University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
103
UCEAP Course Suffix
E
UCEAP Official Title
USER INTERFACES
UCEAP Transcript Title
USER INTERFACES
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course provides a study of human-computer interaction, usability, including principles, guidelines and standards for the development of user-interfaces, and web interfaces. Other topics covered include: history of HCI; user-centered design; universal design; user experience; predictive models; descriptive models; interaction paradigms. Students are expected to have completed coursework in programming, informatics engineering, automata and formal languages theory.
Language(s) of Instruction
English
Host Institution Course Number
13882
Host Institution Course Title
INTERFACES DE USUARIO
Host Institution Course Details
Host Institution Campus
Escuela Politécnica Superior. (Leganés)
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informática
Course Last Reviewed
COURSE DETAIL
NEURAL INFORMATION PROCESSING PROJECT
Country
Germany
Host Institution
Technical University Berlin
Program(s)
Technical University Berlin
UCEAP Course Level
Graduate
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
201
UCEAP Course Suffix
UCEAP Official Title
NEURAL INFORMATION PROCESSING PROJECT
UCEAP Transcript Title
NEURAL INFO PROJECT
UCEAP Quarter Units
8.50
UCEAP Semester Units
5.70
Course Description
During this course, participants work on a scientific project of limited scope under the supervision of an experienced researcher. Project topics vary every semester, but are always related to the current research projects of the Neural Information Processing Group. In the past, topics were selected from research fields including the modeling of neural systems, machine learning, artificial neural network and their application, and from the analysis of neural data. During the course, students read original publications, learn how to prepare and present a brief project proposal, learn how to scientifically address a complex problem, learn how to discuss and defend their findings during a scientific poster session, and a how to compile their results in form of a typical conference paper. This course also includes a seminar.
Language(s) of Instruction
English
Host Institution Course Number
0434 L 864
Host Institution Course Title
NEURAL INFORMATION PROCESSING PROJECT
Host Institution Course Details
Host Institution Campus
FAKULTÄT IV ELEKTROTECHNIK UND INFORMATIK
Host Institution Faculty
Host Institution Degree
Host Institution Department
Institut für Softwaretechnik und Theoretische Informatik
Course Last Reviewed
COURSE DETAIL
MACHINE LEARNING IN PRACTICE
Country
United Kingdom - England
Host Institution
London School of Economics
Program(s)
Summer at London School of Economics
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Computer Science
UCEAP Course Number
120
UCEAP Course Suffix
S
UCEAP Official Title
MACHINE LEARNING IN PRACTICE
UCEAP Transcript Title
MACHINE LEARNING
UCEAP Quarter Units
5.50
UCEAP Semester Units
3.70
Course Description
Machine learning combines the fields of engineering, statistics, mathematics, and computing. This course covers a wide range of machine learning methods, both model-based and algorithmic. It illustrates the applications of these methods through real-world examples and datasets. It also aims to present the theoretical foundation of these methodologies. Students should be familiar with the basic concepts of statistics (up to linear regression) and have some basic understanding of calculus and linear algebra. Some minimal experience with computer programming is also required.
Language(s) of Instruction
English
Host Institution Course Number
ME315
Host Institution Course Title
MACHINE LEARNING IN PRACTICE
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics
Course Last Reviewed
2024-2025
COURSE DETAIL
KNOWLEDGE & REASONING
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
126
UCEAP Course Suffix
UCEAP Official Title
KNOWLEDGE & REASONING
UCEAP Transcript Title
KNOWLEDGE&REASONING
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course covers computational methods of knowledge, representation, and reasoning, tracing their origins in epistemology and the study of logic, and showing their evolution and use in artificial intelligence. Students discuss theories of knowledge and related developments in Artificial Intelligence in the context of the historic development of the field; and demonstrate knowledge of several established knowledge representation and reasoning methods such as sentential logic, semantic networks, ontologies, fuzzy systems, and Bayesian networks.
Language(s) of Instruction
English
Host Institution Course Number
G6019
Host Institution Course Title
KNOWLEDGE & REASONING
Host Institution Course Details
Host Institution Campus
University of Sussex
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatics
Course Last Reviewed
2019-2020
COURSE DETAIL
INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Physics
Mathematics
Computer Science
UCEAP Course Number
113
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING
UCEAP Transcript Title
ARTFCL NEURL NETWRK
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course provides an introduction to artificial neural networks and deep learning, with both theoretical and practical aspects. This course gives a basic knowledge of artificial neural networks and deep learning: both the theoretical background and how to practically use these methods for typical problems in machine learning and data mining. The course covers the most common models in artificial neural networks, with a focus on the multi-layer perceptron. The course contains three computer exercises where the student train and evaluate different ANN models.
Language(s) of Instruction
English
Host Institution Course Number
BERN04
Host Institution Course Title
INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING
Host Institution Course Details
Host Institution Campus
Lund
Host Institution Faculty
Science
Host Institution Degree
Host Institution Department
Course Last Reviewed
2025-2026
COURSE DETAIL
COMPUTING SCIENCE 1CT: INTRODUCTION TO COMPUTATIONAL THINKING
Country
United Kingdom - Scotland
Host Institution
University of Glasgow
Program(s)
University of Glasgow
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
25
UCEAP Course Suffix
UCEAP Official Title
COMPUTING SCIENCE 1CT: INTRODUCTION TO COMPUTATIONAL THINKING
UCEAP Transcript Title
COMPUTATION/THINKNG
UCEAP Quarter Units
8.00
UCEAP Semester Units
5.30
Course Description
Computational processes are increasingly being discovered in natural, social, and economic systems as well as typical silicon-based computing devices such as laptops and smartphones. For those with little or no previous computing education, this course develops the necessary understanding and thinking skills so that such systems can be viewed as predictable, understandable, and ultimately controllable. It is valuable in its own right, as an underpinning now required in many other disciplines, and as a foundation for further study in computing science.
Language(s) of Instruction
English
Host Institution Course Number
COMPSCI1016
Host Institution Course Title
COMPUTING SCIENCE - 1CT INTRODUCTION TO COMPUTATIONAL THINKING
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
School of Computing Science
Host Institution Degree
Host Institution Department
Course Last Reviewed
2024-2025