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Discipline ID
bf91b86a-62db-4996-b583-29c1ffe6e71e

COURSE DETAIL

MACHINE LEARNING II
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
118
UCEAP Course Suffix
UCEAP Official Title
MACHINE LEARNING II
UCEAP Transcript Title
MACHINE LEARNING II
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course discusses advanced concepts in machine learning. Topics include: nonlinear classification and regression; Kernel methods; Ensemble methods; Gaussian Processes for classification and regression; unsupervised learning; graphical models; latent variable models; Bayesian non-parametrics; multi-task learning; transfer learning. 

Language(s) of Instruction
English
Host Institution Course Number
16498
Host Institution Course Title
APRENDIZAJE AUTOMÁTICO II
Host Institution Campus
Leganés
Host Institution Faculty
Escuela Politécnica Superior
Host Institution Degree
Grado en Ciencia e Ingeniería de Datos
Host Institution Department
Teoría de la Señal y Comunicaciones

COURSE DETAIL

ADVANCED STATISTICAL ANALYTICS AND BUSINESS INTELLIGENCE
Country
China
Host Institution
Peking University, Beijing
Program(s)
Peking University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
122
UCEAP Course Suffix
UCEAP Official Title
ADVANCED STATISTICAL ANALYTICS AND BUSINESS INTELLIGENCE
UCEAP Transcript Title
ADV STATS ANLYS &BI
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
The course provides a study of SAS advanced Statistical Analytics and the relative theories. It covers the process of data manipulation, data visualization, and data analysis and modeling. This course covers fundamental theories and applied techniques, necessary SAS programming skills, as well as how to create an analysis project both through SAS EG User Interface and SAS program, and then to analyze to get the final result. Topics in the business intelligence field include high performance computing, big data, and mobile BI.
Language(s) of Instruction
Chinese
Host Institution Course Number
4832350
Host Institution Course Title
ADVANCED STATISTICAL ANALYTICS AND BUSINESS INTELLIGENCE
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Computer Science

COURSE DETAIL

COMPUTER ARCHITECTURE AND DESIGN
Country
United Kingdom - Scotland
Host Institution
University of Edinburgh
Program(s)
University of Edinburgh
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
156
UCEAP Course Suffix
UCEAP Official Title
COMPUTER ARCHITECTURE AND DESIGN
UCEAP Transcript Title
COMP ARCH & DESIGN
UCEAP Quarter Units
8.00
UCEAP Semester Units
5.30
Course Description
In this course, students learn how to design a computer and understand the performance characteristics of computers. Students first acquire a working knowledge of digital design, through the Verilog Hardware Description Language, along with a good theoretical grounding in the design of the key components of a microprocessor. Students learn, both theoretically and practically, how the quantitative approach to computer architecture enables computer architects to analyze and optimize microprocessors to maximize performance. Students spend time in the lab, designing real hardware, and later in the course applying recently-acquired knowledge of quantitative computer architecture to analyze a simulated system and optimize its performance.
Language(s) of Instruction
English
Host Institution Course Number
INFR10076
Host Institution Course Title
COMPUTER ARCHITECTURE AND DESIGN
Host Institution Campus
Edinburgh
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatics

COURSE DETAIL

HUMAN-COMPUTER INTERACTIONS
Country
Hong Kong
Host Institution
Chinese University of Hong Kong
Program(s)
Chinese University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
125
UCEAP Course Suffix
UCEAP Official Title
HUMAN-COMPUTER INTERACTIONS
UCEAP Transcript Title
HUMAN COMP INTERACT
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course provides an introduction to the fast evolving field of human computer interaction (HCI). HCI is a multidisciplinary subject concerning the design, implementation and evaluation of interactive computing systems for human use, and the study of major phenomena surrounding them. The course provides a broad overview of the field, including the theory and principles underlying good designs, with an emphasis on the interface design process, development and evaluation. Some state-of-the-art technologies in HCI, such as speech recognition, haptics, virtual reality, software agents and computer supported cooperative work are discussed.
Language(s) of Instruction
English
Host Institution Course Number
SEEM3510
Host Institution Course Title
HUMAN-COMPUTER INTERACTION
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Systems Engineering & Engineering Management

COURSE DETAIL

DATABASES
Country
Chile
Host Institution
Pontifical Catholic University of Chile
Program(s)
Chilean Universities,Pontifical Catholic University of Chile,University of Chile
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
106
UCEAP Course Suffix
UCEAP Official Title
DATABASES
UCEAP Transcript Title
DATABASES
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course covers basic theory of the relational model and its application to the design of relational databases, including transactions and data integration, normalization, and stored procedures. The course also teaches SQL programming language and fundamental concepts of database management systems.
Language(s) of Instruction
Spanish
Host Institution Course Number
IIC2413
Host Institution Course Title
BASES DE DATOS
Host Institution Campus
Campus San Joaquín
Host Institution Faculty
Host Institution Degree
Host Institution Department
Escuela de Ingeniería

COURSE DETAIL

INFORMATION THEORY
Country
Singapore
Host Institution
National University of Singapore
Program(s)
National University of Singapore
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
136
UCEAP Course Suffix
UCEAP Official Title
INFORMATION THEORY
UCEAP Transcript Title
INFORMATION THEORY
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course introduces the basics of information theory, covering how information can be quantified, and how this quantification can be used to provide an understanding of data compression and communication. While this course focuses on these classical applications of information theory, the underlying mathematical tools and techniques have since been demonstrated as being considerably more far-reaching, with broad applications in modern machine learning and data science. Topics covered include Shannon's information measures and their properties, fundamental limits of data compression and noisy channel coding, and practical compression and error-correcting codes.
Language(s) of Instruction
English
Host Institution Course Number
CS3236
Host Institution Course Title
INTRODUCTION TO INFORMATION THEORY
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Computer Science

COURSE DETAIL

COMPUTER VISION
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics Engineering Computer Science
UCEAP Course Number
170
UCEAP Course Suffix
UCEAP Official Title
COMPUTER VISION
UCEAP Transcript Title
COMPUTER VISION
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course gives an overview of the theory and practically useful methods in computer vision, with applications within e.g. vision systems, non-invasive measurements, and augmented reality. The aim is to make the student develop their ability in problem solving, with and without a computer, using mathematical tools taken from many areas of the mathematical sciences, in particular geometry, optimization, mathematical statistics, invariant theory, and transform theory.
Language(s) of Instruction
English
Host Institution Course Number
FMAN85
Host Institution Course Title
COMPUTER VISION
Host Institution Campus
Engineering
Host Institution Faculty
Host Institution Degree
Host Institution Department
Engineering- Mathematics

COURSE DETAIL

ROBOTIC 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)
Engineering Computer Science
UCEAP Course Number
161
UCEAP Course Suffix
UCEAP Official Title
ROBOTIC SYSTEMS
UCEAP Transcript Title
ROBOTIC SYSTEMS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description

This course teaches students to model and analyze typical mechatronic devices and their implementation using digital computers, with particular emphasis on robotic systems. Students develop kinematics and dynamic models of robots and examine the electro-mechanical design aspects of mechatronic systems. The course investigates intelligent methods for robotic navigation as well as trajectory and path planning.

Language(s) of Instruction
English
Host Institution Course Number
6CCE3ROS
Host Institution Course Title
ROBOTIC SYSTEMS
Host Institution Campus
Strand Campus
Host Institution Faculty
Host Institution Degree
Bachelors
Host Institution Department
Engineering

COURSE DETAIL

ARTIFICIAL INTELLIGENCE
Country
Italy
Host Institution
University of Padua
Program(s)
Psychology and Cognitive Science, Padua
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
151
UCEAP Course Suffix
UCEAP Official Title
ARTIFICIAL INTELLIGENCE
UCEAP Transcript Title
ARTIFICL INTELLGNCE
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course examines the fundamental techniques of some significant approaches within Artificial Intelligence (AI) for the solution of difficult problems. In particular, the course discusses local research techniques in a space of solutions, systems with constraints, soft constraints, planning techniques, representation and manipulation of knowledge with and without uncertainty, decision theory, reasoning techniques with preferences, and aggregation of preferences in a multi-agent context. The structure and the topics of the course is as follows: problem resolution, and local search algorithms; constraint-based systems and soft constraints; preference reasoning and preference aggregation in multi-agent systems; decision theory; treatment of uncertainty and probabilistic reasoning; planning; and artificial intelligence in society. The course recommends students have basic knowledge of programming and algorithms as a prerequisite.

Language(s) of Instruction
English
Host Institution Course Number
INQ0091562
Host Institution Course Title
ARTIFICIAL INTELLIGENCE
Host Institution Campus
Host Institution Faculty
Engineering
Host Institution Degree
Second Cycle Degree in Computer Engineering
Host Institution Department

COURSE DETAIL

COMPUTER VISION
Country
Hong Kong
Host Institution
University of Hong Kong
Program(s)
University of Hong Kong
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
113
UCEAP Course Suffix
UCEAP Official Title
COMPUTER VISION
UCEAP Transcript Title
COMPUTER VISION
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course examines the principles, mathematical models and applications of computer vision. Topics include: image processing techniques, feature extraction techniques, imaging models and camera calibration techniques, stereo vision, and motion analysis.

Language(s) of Instruction
English
Host Institution Course Number
COMP3317
Host Institution Course Title
COMPUTER VISION
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Computer Science
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