Discipline ID
bf91b86a-62db-4996-b583-29c1ffe6e71e
COURSE DETAIL
COMPUTATIONAL ENGINEERING
Country
Germany
Host Institution
Technical University Berlin
Program(s)
Technical University Summer
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mechanical Engineering
Computer Science
UCEAP Course Number
104
UCEAP Course Suffix
UCEAP Official Title
COMPUTATIONAL ENGINEERING
UCEAP Transcript Title
COMPUTATIONAL ENGR
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
In this course, students learn the theory of mechanics and electromagnetism for computing engineering systems like MEMS (Micro/nano electro Mechanical Systems), which are used daily in several electronic devices. The emphasis of this course is on a theoretical understanding of problems in continuum mechanics and electromagnetism, as well as their computations. Participants understand and apply the theory of electromagnetism for deformable bodies by using open-source codes in Python (programming language) and simulate physical systems using their own laptop.
Language(s) of Instruction
English
Host Institution Course Number
Host Institution Course Title
COMPUTATIONAL ENGINEERING
Host Institution Course Details
Host Institution Campus
TUBS
Host Institution Faculty
Host Institution Degree
Host Institution Department
Course Last Reviewed
COURSE DETAIL
RESPONSIBLE DATA SCIENCE
Country
Netherlands
Host Institution
Utrecht University
Program(s)
Utrecht University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
121
UCEAP Course Suffix
UCEAP Official Title
RESPONSIBLE DATA SCIENCE
UCEAP Transcript Title
RESPNSIBLE DATA SCI
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
Responsible Data Science is examined through the lens of four introductory dimensions: data dimension; algorithm dimension; human dimension, including psychology of human biases and ethics or moral philosophy; design dimension, including data visualization and interaction design and explainable artificial intelligence (XAI).
Throughout this course, students follow lectures and workshops, read literature, engage in class discussions, give presentations, critique, and conduct an investigation on a topic related to a (self-chosen) real-world ethical problem related to data science in a particular domain. The project also contains a practical solution to the problem illustrated in a low-fidelity prototype.
Language(s) of Instruction
English
Host Institution Course Number
INFOB3RDS
Host Institution Course Title
RESPONSIBLE DATA SCIENCE
Host Institution Course Details
Host Institution Campus
Utrecht University
Host Institution Faculty
Faculty of Science
Host Institution Degree
Host Institution Department
Course Last Reviewed
2022-2023
COURSE DETAIL
DATA ANALYTICS
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
103
UCEAP Course Suffix
UCEAP Official Title
DATA ANALYTICS
UCEAP Transcript Title
DATA ANALYTICS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course covers the theory and practice of business analytics. The course discusses tools for the analysis of data, as well as methods for discovering knowledge from information and using this knowledge for intelligent decision making. The course applies current data mining techniques to real-life problems using modern software tools (SAS, SPSS modeller, Tableau, WEKA, XLMiner). The course studies how (and how not) to extract information from large databases with standard techniques from data mining and how to interpret the results. The first two cases, selected from the literature, give students experience with the mentioned goals. The last two or three cases are selected from business practices based on current topical developments of the various disciplines involved with data oriented decision making: financial, marketing, supply chain management, etc. These cases are introduced by select major companies. This course gives students hands-on experience in analyzing managerial decision processes based on available data, and using quantitative techniques for decision making.
Language(s) of Instruction
English
Host Institution Course Number
SCI3051
Host Institution Course Title
DATA ANALYTICS
Host Institution Course Details
Host Institution Campus
University College Maastricht
Host Institution Faculty
Host Institution Degree
Host Institution Department
Sciences
Course Last Reviewed
2020-2021
COURSE DETAIL
DATABASE SYSTEMS
Country
Germany
Host Institution
Free University of Berlin
Program(s)
Technical University Berlin,Free University Berlin
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
136
UCEAP Course Suffix
UCEAP Official Title
DATABASE SYSTEMS
UCEAP Transcript Title
DATABASE SYSTEMS
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course discusses topics including database design with ERM/ERDD; theoretical foundations of relational database systems: relational algebra, functional dependencies, and normal forms; relational database development: SQL data definitions, foreign keys and other integrity constraints, and SQL as applicable language: essential language elements, and embedding in programming language; application programming, and object-relational mapping; security and protection concepts; transaction subject, transactional guaranties, synchronization of multi user operations, and fault tolerance features; and application and new developments: data warehousing, data mining, and OLAP. The topics are deepened in an implementation project for student groups.
Language(s) of Instruction
English
Host Institution Course Number
19301501
Host Institution Course Title
DATABASE SYSTEMS
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
MATHEMATIK UND INFORMATIK
Host Institution Degree
Host Institution Department
Informatik
Course Last Reviewed
2021-2022
COURSE DETAIL
ARTIFICIAL INTELLIGENCE
Country
Korea, South
Host Institution
Korea University
Program(s)
Korea University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
110
UCEAP Course Suffix
UCEAP Official Title
ARTIFICIAL INTELLIGENCE
UCEAP Transcript Title
ARTFCL INTELLIGENCE
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course provides an introduction to basic concepts of artificial intelligence. The course addresses heuristic search algorithm and knowledge reasoning of symbolic AI (Artificial Intelligence), a traditional AI approach. In addition, the course addresses theories about computational AI, such as genetic algorithms, and neural network learning, and how they can be applied in each field. The course also studies the application fields of artificial intelligence technologies.
Language(s) of Instruction
English
Host Institution Course Number
COSE361
Host Institution Course Title
ARTIFICIAL INTELLIGENCE
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Course Last Reviewed
2021-2022
COURSE DETAIL
DATABASES
Country
Spain
Host Institution
University of Barcelona
Program(s)
University of Barcelona
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
Computer Science
UCEAP Course Number
158
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 provides an introduction to databases, with a focus on mastering the skills and knowledge required to design and analyze a database and recover and store data in a fast and efficient manner. It reviews key concepts, including the difference between data and information; database design; database implementation (SQL; data manipulation language; normalization; storage and indexation); connectivity; introduction to NoSQL.
Language(s) of Instruction
Catalan
Host Institution Course Number
364311
Host Institution Course Title
BASES DE DATOS
Host Institution Course Details
Host Institution Campus
Facultad de Matematicas e Informática, Campus Plaza Universidad
Host Institution Faculty
Host Institution Degree
Host Institution Department
Matemáticas e Informática
Course Last Reviewed
COURSE DETAIL
DATABASE 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
UCEAP Official Title
DATABASE SYSTEMS
UCEAP Transcript Title
DATABASE SYSTEMS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course covers the theoretical foundations of database systems and the main concepts underlying the practical organization and management of such systems.
Language(s) of Instruction
English
Host Institution Course Number
4CCS1DBS
Host Institution Course Title
DATABASE SYSTEMS
Host Institution Course Details
Host Institution Campus
King's College London
Host Institution Faculty
Host Institution Degree
Host Institution Department
Informatics
Course Last Reviewed
2019-2020
COURSE DETAIL
LANGUAGES AND COMPILERS
Country
Netherlands
Host Institution
Utrecht University
Program(s)
Utrecht University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
103
UCEAP Course Suffix
UCEAP Official Title
LANGUAGES AND COMPILERS
UCEAP Transcript Title
LANGUAGES&COMPILERS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
Many programs use a list of symbols as input. These lists almost always have a structure. Examples are programs in some programming language, packets containing information sent over the internet, or information a program puts into a file to be read in another program. These structures are described by grammars. These grammars can automatically generate programs that recognize the structure. This recognition process is an important component of many programs (like compilers), and the description of the compilation process also uses these grammatical formalisms. By using special classes of grammars you may or may not express more structure or guarantee beforehand that the structure is easily recognized (e.g. in linear time). Students learn how to design grammars, how to construct parsers, and how to further use the results of these parsers (e.g. generate code for a part of the programming language C#). Grammars play a central role in computer science (XML Schemas, database schemas, Game Maker Language, etc.). Prerequisite knowledge: students must have basic knowledge of functional programming, programming in Haskell.
Language(s) of Instruction
English
Host Institution Course Number
INFOB3TC
Host Institution Course Title
LANGUAGES AND COMPILERS
Host Institution Course Details
Host Institution Campus
Science
Host Institution Faculty
Host Institution Degree
Host Institution Department
Information and Computing Sciences
Course Last Reviewed
COURSE DETAIL
EXCEL AND DATA PROCESSING
Country
China
Host Institution
Fudan University
Program(s)
Fudan University
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
39
UCEAP Course Suffix
UCEAP Official Title
EXCEL AND DATA PROCESSING
UCEAP Transcript Title
EXCEL&DATA PROCESS
UCEAP Quarter Units
3.00
UCEAP Semester Units
2.00
Course Description
This course introduces data processing in detail from the aspects of data calculation, sorting, query, screening, statistical summary, and chart generation, combined with some VBA programming practice. It improves students' data processing ability and enables non computer majors to learn the thinking and methods of computer programming.
Language(s) of Instruction
Chinese
Host Institution Course Number
COMP110039
Host Institution Course Title
EXCEL AND DATA PROCESSING
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Yimin Wang
Host Institution Degree
Host Institution Department
Computer Science and Technology
Course Last Reviewed
2021-2022
COURSE DETAIL
ARTIFICIAL INTELLIGENCE I
Country
Ireland
Host Institution
Trinity College Dublin
Program(s)
Trinity College Dublin
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
122
UCEAP Course Suffix
UCEAP Official Title
ARTIFICIAL INTELLIGENCE I
UCEAP Transcript Title
ARTIFICIAL INTELLIG
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description
This course offers an introduction to the general background of artificial intelligence and computation. Specific topics include the symbol system hypothesis, Turing machines as agents, constraint satisfaction, and knowledge representation and reasoning among others. Students conduct two assessed lab exercises, to be assigned about two weeks before they are due; the remainder of assessment is based on examination.
Language(s) of Instruction
English
Host Institution Course Number
CS3061
Host Institution Course Title
ARTIFICIAL INTELLIGENCE I
Host Institution Course Details
Host Institution Campus
Trinity College Dublin
Host Institution Faculty
Host Institution Degree
Host Institution Department
Computer Science
Course Last Reviewed
2019-2020