Discipline ID
97ac1514-598d-4ae9-af20-fdf75b940953

COURSE DETAIL

ALGORITHMIC GAME THEORY AND ITS APPLICATIONS
Country
United Kingdom - Scotland
Host Institution
University of Edinburgh
Program(s)
University of Edinburgh
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics Computer Science
UCEAP Course Number
176
UCEAP Course Suffix
UCEAP Official Title
ALGORITHMIC GAME THEORY AND ITS APPLICATIONS
UCEAP Transcript Title
ALGRTHMIC GAME THRY
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description

This course brings together as a coherent body of knowledge the game theoretic algorithms and models that underpin several flourishing subjects at the intersection of computer science, economics, e-commerce, and AI.

Language(s) of Instruction
English
Host Institution Course Number
INFR11218
Host Institution Course Title
ALGORITHMIC GAME THEORY AND ITS APPLICATIONS (UG)
Host Institution Course Details
Host Institution Campus
University of Edinburgh
Host Institution Faculty
Host Institution Degree
Host Institution Department
School of Informatics
Course Last Reviewed
2023-2024

COURSE DETAIL

NUMBER THEORY
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
140
UCEAP Course Suffix
UCEAP Official Title
NUMBER THEORY
UCEAP Transcript Title
NUMBER THEORY
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description

The course treats multiplicative number theoretic functions, Möbius inversion formula, properties of Euler's totient function, primitive roots and indices, quadratic residues, the Legendre symbol and it's properties, the quadratic reciprocity theorem, representations of integers as sums of squares, number theoretic properties of the Fibonacci sequence, continued fractions, Diophantine approximation.
 

Language(s) of Instruction
English
Host Institution Course Number
MATC35
Host Institution Course Title
NUMBER THEORY
Host Institution Course Details
Host Institution Campus
Lund
Host Institution Faculty
Science
Host Institution Degree
Host Institution Department
Math
Course Last Reviewed
2024-2025

COURSE DETAIL

UNDERGRADUATE RESEARCH
Country
Singapore
Host Institution
Singapore University of Technology and Design
Program(s)
STEM Research in Singapore
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics Psychology Mechanical Engineering Mathematics Materials Science Health Sciences Environmental Studies Engineering Electrical Engineering Earth & Space Sciences Computer Science Civil Engineering Chemical Engineering Biological Sciences Bioengineering Agricultural Sciences
UCEAP Course Number
186
UCEAP Course Suffix
S
UCEAP Official Title
UNDERGRADUATE RESEARCH
UCEAP Transcript Title
RESEARCH
UCEAP Quarter Units
10.00
UCEAP Semester Units
6.70
Course Description

This course provides research training for exchange students. Students work on a research project under the guidance of assigned faculty members. Through a full-time commitment, students improve their research skills by participating in the different phases of research, including development of research plans, proposals, data analysis, and presentation of research results. A pass/no pass grade is assigned based a progress report, self-evaluation, midterm report, presentation, and final report.

Language(s) of Instruction
English
Host Institution Course Number
Host Institution Course Title
iUROP META RESEARCH
Host Institution Course Details
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Inbound International Undergraduate Research Opportunities Programme
Course Last Reviewed
2022-2023

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NUMERICAL ANALYSIS: NUMERICAL APPROXIMATION
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
160
UCEAP Course Suffix
UCEAP Official Title
NUMERICAL ANALYSIS: NUMERICAL APPROXIMATION
UCEAP Transcript Title
NUMERICAL APPROXMTN
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
The fundamental problem of approximation theory is to represent a possibly complicated function by simpler, easier to compute functions. In approximation theory it is usually assumed that the values of the function are known. This information is then used to construct an approximant. In numerical computation, information usually comes in a less explicit form. For example, the function may be the solution to a differential equation. Nevertheless, the two subjects of approximation and computation are closely related, and it is impossible to understand fully the possibilities in numerical computation without a good understanding of the elements of constructive approximation. This course gives an overview of basic classical approximation theory, i.e., best and good approximation from a finite family of functions in specific normed linear spaces (such as L1, L2, and C). Minimax approximation and the construction of good approximations (the exchange algorithm) are studied. Also covered are orthogonal polynomials and least squares approximation. The results and techniques from approximation theory and numerical analysis are applied in both the continuous and the discrete cases. The theory is illustrated mainly by considering numerical approximation techniques by polynomials and splines.
Language(s) of Instruction
English
Host Institution Course Number
NUMN19
Host Institution Course Title
NUMERICAL ANALYSIS: NUMERICAL APPROXIMATION
Host Institution Course Details
Host Institution Campus
Science
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
Course Last Reviewed

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HONORS COMPLEX VARIABLES
Country
United Kingdom - Scotland
Host Institution
University of Edinburgh
Program(s)
University of Edinburgh
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
102
UCEAP Course Suffix
UCEAP Official Title
HONORS COMPLEX VARIABLES
UCEAP Transcript Title
COMPLEX VARIABLES
UCEAP Quarter Units
8.00
UCEAP Semester Units
5.30
Course Description
This is a first course in complex analysis. Topics include analytic functions, Mobius transformations and the Riemann sphere, complex integration, series expansions, and the residue calculus and its applications. In the skills section of this course students work on mathematical reading and writing, although the skills involved are widely applicable to reading and writing technical and non-technical reports. Students then use these skills to write a report after completing a group project re-searching a topic connected with complex numbers or complex analysis.
Language(s) of Instruction
English
Host Institution Course Number
MATH10067
Host Institution Course Title
HONOURS COMPLEX VARIABLES
Host Institution Campus
Edinburgh
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
Course Last Reviewed
2018-2019

COURSE DETAIL

NUMERICAL ANALYSIS: NUMERICAL LINEAR ALGEBRA
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
142
UCEAP Course Suffix
UCEAP Official Title
NUMERICAL ANALYSIS: NUMERICAL LINEAR ALGEBRA
UCEAP Transcript Title
NUM LINEAR ALGEBRA
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description

This course provides an introduction to numerical linear algebra, including methods and principles for solving fundamental problems in linear algebra. The course covers matrix and vector norms, orthogonalization, projection, matrix factorizations, direct and iterative solvers, condition numbers, stability of a method, and complexity of an algorithm. Students learn to solve problems and are trained in implementing numerical methods in code. This course prepares students for further studies in numerical analysis, statistics, computer science, and image analysis.

Language(s) of Instruction
English
Host Institution Course Number
NUMB11
Host Institution Course Title
NUMERICAL ANALYSIS: NUMERICAL LINEAR ALGEBRA
Host Institution Campus
Lund
Host Institution Faculty
Science/Engineering
Host Institution Degree
Host Institution Department
Mathematics/Engineering
Course Last Reviewed
2021-2022

COURSE DETAIL

LINEAR ALGEBRA I
Country
Ireland
Host Institution
Trinity College Dublin
Program(s)
Trinity College Dublin
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
111
UCEAP Course Suffix
UCEAP Official Title
LINEAR ALGEBRA I
UCEAP Transcript Title
LINEAR ALGEBRA 1
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description
This course teaches the application of linear algebra. Topics inlcude lines, planes, vectors, dot and cross product; linear systems, Gauss-Jordan elimination, and reduced row echelon form; matrix multiplication, elementary row operations, and inverse matrix; permutations, odd and even, determinants, and transpose matrix; minors, cofactors, adjoint matrix, inverse matrix, and Cramer's rule; vector spaces, linear independence and span, and bases and dimension; linear operators, matrix of a linear operator with respect to a basis; and change of basis, transition matrix, and conjugate matrices.
Language(s) of Instruction
English
Host Institution Course Number
MAU11101
Host Institution Course Title
LINEAR ALGEBRA I
Host Institution Campus
Trinity College Dublin
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
Course Last Reviewed
2019-2020

COURSE DETAIL

LINEAR AND COMBINATORIAL OPTIMIZATION
Country
Sweden
Host Institution
Lund University
Program(s)
Lund University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics Engineering
UCEAP Course Number
141
UCEAP Course Suffix
UCEAP Official Title
LINEAR AND COMBINATORIAL OPTIMIZATION
UCEAP Transcript Title
LINEAR & COMB OPTIM
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
In science, technology, and economics, linear and combinatorial optimization problems appear more and more often. The most well-known example is linear programming, where the so-called simplex method has been of utmost importance in industry since it was invented in the middle of the twentieth century. Other important problems, such as effective data processing, contain discrete variables (i.e. integers). In connection with this, the importance of combinatorial methods has grown. This course makes students aware of problems in linear and combinatorial optimization which are important in the applications, and provides knowledge about mathematical methods for their solution. The course also helps students develop their ability to solve problems, with and without the use of a computer.
Language(s) of Instruction
English
Host Institution Course Number
FMAF35
Host Institution Course Title
LINEAR AND COMBINATORIAL OPTIMIZATION
Host Institution Course Details
Host Institution Campus
Engineering/Mathematics
Host Institution Faculty
Host Institution Degree
Host Institution Department
Engineering - Mathematics
Course Last Reviewed
2020-2021

COURSE DETAIL

MATHEMATICS OF MODERN CRYPTOGRAPHY
Country
Taiwan
Host Institution
National Taiwan University
Program(s)
National Taiwan University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics Computer Science
UCEAP Course Number
126
UCEAP Course Suffix
UCEAP Official Title
MATHEMATICS OF MODERN CRYPTOGRAPHY
UCEAP Transcript Title
MATH CRYPTOGRAPHY
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description

This course provides an introduction to modern cryptography with a mathematical focus. It covers the basics of abstract algebra and number theory, and introduces cryptocurrencies such as Bitcoin, BlockChain, and FinTech. Topics include data security, stream ciphers, Data Encryption Standard (DES) and alternatives, Advanced Encryption Standard (AES), block ciphers, public-key cryptography, RSA Cryptosystem, elliptic curve cryptosystems, digital signatures, hash functions, Message Authentication Codes (MACs), and key establishment.

Language(s) of Instruction
Host Institution Course Number
MATH5425
Host Institution Course Title
INTRODUCTION TO CRYPTOGRAPHY
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
Course Last Reviewed
2022-2023

COURSE DETAIL

MATHEMATICAL ANALYSIS I
Country
Ireland
Host Institution
University College Cork
Program(s)
University College Cork
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Mathematics
UCEAP Course Number
103
UCEAP Course Suffix
UCEAP Official Title
MATHEMATICAL ANALYSIS I
UCEAP Transcript Title
MATHMTICL ANLYS 1
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description
This course presents elementary classical analysis in a concrete setting, emphasizing specific techniques important to classical analysis and its applications. Topics include topology of Euclidean space; continuous and differentiable mappings; and Riemann integration.
Language(s) of Instruction
English
Host Institution Course Number
MA2051
Host Institution Course Title
MATHEMATICAL ANALYSIS I
Host Institution Campus
University College Cork
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
Course Last Reviewed
2019-2020
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