Functional and Imperative Programming, Part 2, 5 credits (TDDE24)

Funktionell och imperativ programmering, del 2, 5 hp

Main field of study

Computer Science and Engineering Computer Science

Level

First cycle

Course type

Programme course

Examiner

Fredrik Heintz

Director of studies or equivalent

Peter Dalenius
Course offered for Semester Period Timetable module Language Campus VOF
6CDDD Computer Science and Engineering, M Sc in Engineering 1 (Autumn 2017) 2 3 Swedish Linköping o
6CMJU Computer Science and Software Engineering, M Sc in Engineering 1 (Autumn 2017) 2 3 Swedish Linköping o

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G1X

Course offered for

  • Computer Science and Engineering, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Elementary computer skills, basic programming in Python and basic discrete mathematics (sets, functions, relations, induction, graphs, logical expressions).

Intended learning outcomes

The aim of the course is that the students should develop their ability to formulate and solve problems using programming. After the course the student will be able to:

  • describe basic concepts of computer science related to programming and programming languages, in particular programming languages
  • formulate and implement recursive and iterative algorithms
  • construct abstractions with different types of support from the programming language 

Course content

The following topics are addressed during lectures:

  • programming and its relation to mathematics
  • recursion
  • data and program abstraction, abstract data types and data driven programming
  • functional programming

 

Teaching and working methods

Theory is addressed mainly during a series of seminars, with a small number of supplementary lectures. The ability to solve problems is trained during labs.  

Examination

DAT1Computer ExaminationU, 3, 4, 53 credits
LAB1Laboratory workU, G2 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Imperative programming and Ada, Object oriented programming and Java, Data and program structures

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Peter Dalenius

Examiner

Fredrik Heintz

Course website and other links

Education components

Preliminary scheduled hours: 0 h
Recommended self-study hours: 133 h

Course literature

Additional literature

Books
Zelle, John M., (2010) Python Programming: An Introduction to Computer Science Franklin, Beedle & Associates Inc.
ISBN: 978-1-59028-241-0

Additional literature

Books

Zelle, John M., (2010) Python Programming: An Introduction to Computer Science Franklin, Beedle & Associates Inc.

ISBN: 978-1-59028-241-0

DAT1 Computer Examination U, 3, 4, 5 3 credits
LAB1 Laboratory work U, G 2 credits

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