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

COURSE DETAIL

COMPUTATIONAL MODELS
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
124
UCEAP Course Suffix
UCEAP Official Title
COMPUTATIONAL MODELS
UCEAP Transcript Title
COMPUTATIONAL MODEL
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description

The course describes formal languages and the main abstract models of computation.

Language(s) of Instruction
English
Host Institution Course Number
6CCS3COM
Host Institution Course Title
COMPUTATIONAL MODELS
Host Institution Campus
Strand Campus
Host Institution Faculty
Host Institution Degree
bachelors
Host Institution Department
Informatics

COURSE DETAIL

DATA MINING
Country
Netherlands
Host Institution
Maastricht University – University College Maastricht
Program(s)
University College Maastricht
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics Computer Science
UCEAP Course Number
102
UCEAP Course Suffix
UCEAP Official Title
DATA MINING
UCEAP Transcript Title
DATA MINING
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
Data mining is a relatively new scientific field that enables finding interesting knowledge from (very large) data. In practice it is often a mixed-initiative process that has the potential to predict events or to analyze them in retrospect. Data mining has elements of artificial intelligence, machine learning, and statistics. A typical database contains data, information, or even knowledge if the appropriate queries are submitted and answered. The situation changes if you have to analyze large databases with many variables. Elementary database queries and standard statistical analysis are not sufficient to answer your information need. Data mining can assist in acquiring this knowledge. In this course students learn new techniques, new methods, and tools of data mining. The course focuses on techniques with a direct practical use. A step-by-step introduction to powerful (free ware) data-mining tools enables students to achieve specific skills, autonomy, and hands-on experience. A number of real data sets are analyzed and discussed. In the end of the course, students are able to apply data-mining techniques for research and business purposes. The following points are addressed during the course: data mining and knowledge discovery; data preparation; basic techniques for data mining; decision-tree induction; rule induction; instance-based learning; Bayesian learning; ensemble techniques; clustering; association rules; tools for data mining; how to interpret and evaluate data mining results.
Language(s) of Instruction
English
Host Institution Course Number
SCI2033
Host Institution Course Title
DATAMINING
Host Institution Campus
University College Maastricht
Host Institution Faculty
Sciences
Host Institution Degree
Host Institution Department

COURSE DETAIL

SPACE ROBOTICS
Country
Germany
Host Institution
Technical University Berlin
Program(s)
Technical University Summer
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mechanical Engineering Electrical Engineering Computer Science
UCEAP Course Number
121
UCEAP Course Suffix
UCEAP Official Title
SPACE ROBOTICS
UCEAP Transcript Title
SPACE ROBOTICS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
In this course students acquire knowledge of the most important topics related to space robotics and planetary exploration. Course participants learn the parts of a space rover system and understand their correlations. In addition, they are able to plan and conduct a planetary exploration mission. Students are taught how to design a part of a rover system with regard to mechanics, electronics, and programming. The course starts with introductory lectures about the most important topics related to space rover technologies and planetary exploration. In parallel, a practical training is given to develop specific engineering skills in mechanics, electronics, and programming that are necessary to conduct the hands-on project. During project work units, parts of a rover are designed with supervision in smaller groups. In a mission scenario on a test-bed, the rover is operated under real conditions. The course requires no specific robotics-related knowledge. Experience in programming is an advantage.
Language(s) of Instruction
English
Host Institution Course Number
Host Institution Course Title
SPACE ROBOTICS
Host Institution Campus
TUBS
Host Institution Faculty
Host Institution Degree
Host Institution Department

COURSE DETAIL

HUMAN-COMPUTER INTERACTION
Country
United Kingdom - Scotland
Host Institution
University of Edinburgh
Program(s)
Intern: Scotland,University of Edinburgh
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
131
UCEAP Course Suffix
UCEAP Official Title
HUMAN-COMPUTER INTERACTION
UCEAP Transcript Title
HUMAN-COMP INTRACTN
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description

The design and implementation of efficient, effective, and user-friendly computer systems, including software objects and physical internet-enabled things, depends upon understanding both the technology and its users. Only then can designers be confident that these information appliances will be properly matched to the skills, knowledge, and needs of their users. The study of human-computer interaction (HCI) seeks to combine perspectives and methods of enquiry drawn from disciplines such as interaction design, psychology, and sociology with the tools, techniques, and technologies of computer science to create an approach to design which is both relevant and practical.

Language(s) of Instruction
English
Host Institution Course Number
INFR11017
Host Institution Course Title
HUMAN-COMPUTER INTERACTION
Host Institution Campus
University of Edinburgh
Host Institution Faculty
Host Institution Degree
Host Institution Department
School of Informatics

COURSE DETAIL

THE INFINITELY LARGE AND INFINITELY SMALL
Country
France
Host Institution
University of Bordeaux
Program(s)
University of Bordeaux
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Physics Computer Science Chemistry
UCEAP Course Number
103
UCEAP Course Suffix
UCEAP Official Title
THE INFINITELY LARGE AND INFINITELY SMALL
UCEAP Transcript Title
INFINITELY LG & SM
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description

This course provides an introduction to the concepts, formalism, and applications of quantum mechanics in different disciplinary fields of science and technology: mathematics, computer science and information technology, basic physics, and physico-chemistry. It includes instruction from specialists within these disciplines in connection with current research issues. 

Language(s) of Instruction
English
Host Institution Course Number
4TTV415U
Host Institution Course Title
THE INFINITELY LARGE AND INFINITELY SMALL
Host Institution Campus
UNIVERSITÉ DE BORDEAUX
Host Institution Faculty
Host Institution Degree
Host Institution Department
Sciences et technologies

COURSE DETAIL

IMAGE & VISION COMPUTING
Country
United Kingdom - Scotland
Host Institution
University of Edinburgh
Program(s)
Scottish Universities,University of Edinburgh
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
154
UCEAP Course Suffix
UCEAP Official Title
IMAGE & VISION COMPUTING
UCEAP Transcript Title
IMAGE&VISION COMP
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description
In this course students learn how images are formed given the objects in the three dimensional world, and the basics of how computer vision inverts this process - computing properties of the world from digital images. The course covers topics including basic image formation, image processing, detection, matching, and recognition that allow computers to understand the world based on image content.
Language(s) of Instruction
English
Host Institution Course Number
INFR11140
Host Institution Course Title
IMAGE AND VISION COMPUTING
Host Institution Campus
University of Edinburgh
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatics

COURSE DETAIL

INTERNATIONAL INTERNSHIP
Country
Virtual
Host Institution
Virtual
Program(s)
Virtual International Internship
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Urban Studies Statistics Political Science Legal Studies International Studies Health Sciences Environmental Studies Engineering Education Economics Computer Science Communication Business Administration
UCEAP Course Number
187
UCEAP Course Suffix
UCEAP Official Title
INTERNATIONAL INTERNSHIP
UCEAP Transcript Title
INTRNTNL INTERNSHIP
UCEAP Quarter Units
9.00
UCEAP Semester Units
6.00
Course Description

The International Internship course develops vital business skills employers are actively seeking in job candidates. This course is comprised of two parts: an internship, and a hybrid academic seminar. Students are placed in an internship within a sector related to their professional ambitions. The hybrid academic seminar, conducted both online and in-person, analyzes and evaluates the workplace culture and the daily working environment students experience. The course is divided into eight career readiness competency modules as set out by the National Association of Colleges and Employers (NACE), which guide the course’s learning objectives. During the academic seminar, students reflect weekly on their internship experience within the context of their host culture by comparing and contrasting their experiences with their global internship placement with that of their home culture. Students reflect on their experiences in their internship, the role they have played in the evolution of their experience in their internship placement, and the experiences of their peers in their internship placements. Students develop a greater awareness of their strengths relative to the career readiness competencies, the subtleties and complexities of integrating into a cross-cultural work environment, and how to build and maintain a career search portfolio.

Language(s) of Instruction
English
Host Institution Course Number
INT430
Host Institution Course Title
INTERNATIONAL INTERNSHIP
Host Institution Campus
CEA
Host Institution Faculty
Host Institution Degree
Host Institution Department

COURSE DETAIL

EFFICIENT ALGORITHMS LAB
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
128
UCEAP Course Suffix
UCEAP Official Title
EFFICIENT ALGORITHMS LAB
UCEAP Transcript Title
ALGORITHMS LAB
UCEAP Quarter Units
5.50
UCEAP Semester Units
3.70
Course Description
In this course programming competitions take place at regular intervals, in which students compete to solve programming tasks in the most efficient way with run-time constraints in small groups (size 2-3). There is a computer available for each team. Different solutions using different algorithms or data structures are demonstrated after the competitions during the lectures. Parallel to the competitions there are regular further programming tasks that have to be solved in small groups over a period of a few weeks.
Language(s) of Instruction
English
Host Institution Course Number
0434 L 245
Host Institution Course Title
PROGRAMMIERPRAKTIKUM: WETTBEWERBSORIENTIERTE ALGORITHMIK
Host Institution Campus
FAKULTÄT IV ELEKTROTECHNIK UND INFORMATIK
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatik

COURSE DETAIL

SOFTWARE ENGINEERING
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
103
UCEAP Course Suffix
UCEAP Official Title
SOFTWARE ENGINEERING
UCEAP Transcript Title
SOFTWARE ENGINEERNG
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course provides a study of the techniques used to carry out a real software development project, from the discovery and specification of requirements, to interacting with the client and/or users, to the application, experimentation and demonstration of an application that meets the requirements. Topics include UML, aspects of implementation, software testing, configuration control, unified process (RUP), CMM, management of human resources, project planning, risk management.
Language(s) of Instruction
Spanish
Host Institution Course Number
IIC2143
Host Institution Course Title
INGENIERÍA DE SOFTWARE
Host Institution Campus
Campus San Joaquín
Host Institution Faculty
Host Institution Degree
Host Institution Department
Escuela de Ingeniería

COURSE DETAIL

DISTRIBUTED SYSTEMS
Country
Ireland
Host Institution
University College Dublin
Program(s)
University College Dublin
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
145
UCEAP Course Suffix
UCEAP Official Title
DISTRIBUTED SYSTEMS
UCEAP Transcript Title
DISTRIBUTED SYSTEMS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
Distribution is a key technology for constructing systems that can scale to meet high demand (such as web applications) or which are required to operate over large geographical areas (such as sensor networks). Understanding how to do this effectively is an important challenge in computer science, especially given the continued emergence of systems that are required to handle millions of concurrent users where fluctuations in demand require the addition or removal of hundreds of servers at any point in time. This course explores this space from a practical perspective. Students learn about and use a range of distribution techniques. They explore the state-of-the-art and key theoretical issues by reviewing academic articles on some of the most successful solutions and presenting their findings to their peers. A final project allows the students to apply these techniques through the development of a significant application.
Language(s) of Instruction
English
Host Institution Course Number
COMP30220
Host Institution Course Title
DISTRIBUTED SYSTEMS
Host Institution Campus
Host Institution Faculty
School of Computer Science
Host Institution Degree
Host Institution Department
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