Datavetenskapligt Program (kandidat) Computer Science Programme (master)

Datavetenskapligt Program (kandidat)

Computer Science Programme (master)

Wolfgang Ahrendt Director

Datavetenskap (BSc), Computer Science (MSc) D&IT

G¨oteborg University

Part I

D&IT:

Computer Science and Engineering

at Chalmers and University of Gothenburg

Areas of Research and Education at D&IT:

Logical Models and Methods Natural Language Technology Programming Languages Science of Programming

D&IT Education at GU and Chalmers

3 Bachelor programmes: @GU: Datavetenskap

@CTH: Datateknik, Informationsteknik

7 Master programmes: @GU: Computer Science

@CTH: 6 specialised programmes

on course level:

courses in GU programme ≈ P courses in CHT programmes all courses shared among GU + CTH

differences:

Student Numbers of our programmes @GU

registered students as of today: old Magister 62 new Bachelor 59 new Master 16 P 137 ’frist˚aende’ 8 Erasmus 16 totalP 161

Student Numbers of our programmes @GU

registered students as of today: old Magister 62 new Bachelor 59 new Master 16 P 137 ’frist˚aende’ 8 Erasmus 16 totalP 161

What is Computer Science?

CS is the study of:

computers and computation,

their general powers and limitations,

the design and characteristics of hard- and software, the solving of problems in applications of computers

Essentials of Computer Science

represent—and reason about—computation and information develop methods to analyse and create computation and information

study symbolic representation, implementation, manipulation, communication of information

create and study working hardware and software artifacts develop models, methods, technologies to design, realise, and operate these artifacts

create abstractions (e.g., data structures)

study structures which are common to different hardware and software phenomena (e.g., finite automata)

Challenge: Wide Scope of the Area

CS field has enormous breadth and depth

large coverage is impossible in a single student’s education ⇒ focus on skills which are

common to the whole field

needed to adopt to quickly changing demands

those skills include: problem solving

adopting to any given level of abstraction

learning new artifacts (languages, libraries, tools, frameworks) and creatively use them

Challenge: Wide Scope of the Area

CS field has enormous breadth and depth

large coverage is impossible in a single student’s education ⇒ focus on skills which are

common to the whole field

needed to adopt to quickly changing demands

those skills include: problem solving

adopting to any given level of abstraction

learning new artifacts (languages, libraries, tools, frameworks) and creatively use them

Focus of our programmes

Enabling students to realise systems which function correctly

are maintainable are reliable

Part II

Datavetenskapligt Program:

Background: Different Programming Paradigms

different progr. languages address different levels of abstraction

abstraction level languages

very high functional languages (Haskell) high object-oriented languages (Java)

low C

very low machine languages

feature of our education:

students learn to master different approaches mandatory: functional and object-oriented

Background: Different Programming Paradigms

different progr. languages address different levels of abstraction

abstraction level languages

very high functional languages (Haskell) high object-oriented languages (Java)

low C

very low machine languages

feature of our education:

students learn to master different approaches mandatory: functional and object-oriented

Base Block (year 1)

Computer Science courses: Functional Programming Object-Oriented Programming I Object-Oriented Programming II Data Structures

Finite Automata and Formal Languages

Math courses:

Discrete Mathematics Linear Algebra Calculus

Base Block (year 1)

Computer Science courses: Functional Programming Object-Oriented Programming I Object-Oriented Programming II Data Structures

Finite Automata and Formal Languages

Math courses:

Discrete Mathematics Linear Algebra Calculus

Elective Block (year 2 + 3)

Free choice2 from many Bachelor courses. for instance:

Software Engineering Fundamentals; Programming Project; Databases; Object-Oriented Systems Development;

Operating Systems; Concurrent Programming;

Testing, Debugging, and Verification; Data Communication; Mathematical and Computing Modelling;

Fundamentals of Digital Systems and Computers;

Computer Systems Engineering; Machine Oriented Programming; Human Computer Interaction.

Elective Block (year 2 + 3)

Free choice2 from many Bachelor courses. for instance:

Software Engineering Fundamentals; Programming Project; Databases; Object-Oriented Systems Development;

Operating Systems; Concurrent Programming;

Testing, Debugging, and Verification; Data Communication; Mathematical and Computing Modelling;

Fundamentals of Digital Systems and Computers;

Computer Systems Engineering; Machine Oriented Programming; Human Computer Interaction.

Part III

Computer Science:

Specialisations within the CS Master’s programme @GU

we offer 6 different specialisations: Algorithms, Languages, and Logic Interaction Design

Natural Language Technology Networks and Distributed Systems

Secure and Dependable Computer Systems Software Engineering and Technology

Specialisations within the CS Master’s programme @GU

we offer 6 different specialisations: Algorithms, Languages, and Logic Interaction Design

Natural Language Technology Networks and Distributed Systems

Secure and Dependable Computer Systems Software Engineering and Technology

Algorithms, Languages, and Logic

Core Courses:

Algorithms

Logic in Computer Science Programming Languages

one of: ALL project,

Artificial Intelligence,

Advanced Functional Programming Deepening Courses:

Algorithms, Advanced Course Discrete Optimisation

Algorithms for Machine Learning and Inference Models of Computation

Interaction Design

Core Courses:

Graphical Interfaces

Interaction Design Methodology Interaction Design - Project (15 hp) Deepening Courses:

Computer Graphics Jamel Design Physical Computing Ubiquitous Computing

Methods of Interaction Analysis Human-Centered Design Simulation Engines

Natural Language Technology

Core Courses:

Introduction to Linguistics Natural Language Processing Speech Technology

Machine Learning and Statistical Methods Programming Languages Deepening Courses: Functional Programming Artificial Intelligence Compiler Construction Parsing Algorithms Formal Semantics Formal Syntax Dialogue Systems Information Refinement

Networks and Distributed Systems

Core Courses:

Distributed Systems Internet Technology Computer security

Advanced Topics in Networks and Distributed Systems Distributed Systems (advanced course)

Secure and Dependable Computer Systems

Core Courses:

Computer Security

Fault-tolerant Computer Systems Real-time Systems

Logic in Computer Science

Deepening Courses:

Software Engineering using Formal Methods Hardware Description and Verification Cryptography

Programming Languages Language-based Security

Software Engineering and Technology

Core Courses:

Agile Development Processes Algorithms

Software Architecture Software Constraints Programming Paradigms System Development in Teams

Deepening Courses:

Managing Software Development Projects Compiler Construction

Distributed Systems

Large Degree of Freedom

students can choose to

follow one of the specialisations

The Master’s Degree

with fulfilment of the general requirements, GU grants the degree: “Master of Science in Computer Science”

students fulfilling requirements of a specialisation receive:

The Master’s Degree

with fulfilment of the general requirements, GU grants the degree: “Master of Science in Computer Science”

students fulfilling requirements of a specialisation receive: