Programming with Applications in Engineering, 6 credits

Problemlösning och programmering, 6 hp

TDDD44

The course is disused. Offered for the last time Autumn semester 2018.

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Torbjörn Jonsson

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 88 h
Recommended self-study hours: 72 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CEMM	Energy - Environment - Management, M Sc in Engineering	1 (Autumn 2017)	1, 2	4, 1	Swedish	Linköping, Valla	C

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

Energy - Environment - Management, 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

Ada: No programming knowledge necessary. Basic mathematics from Swedish gymnasium. MatLab: Parts of "Matematisk grundkurs" and "Linjär algebra med geometri". This courses are given in parallel with this course.

Intended learning outcomes

Ada: Basic knowledge of imperative programming, e.g. in Ada. Experience of working in a minor programming project.
MatLab: Understanding and using imperative programming constructs in MatLab. Increased understanding of conecpts addressed in the courses "Matmatisk grundkurs" and "Linjär algebra med geometri".

Course content

Using system software such as compilers, linkers and text editors. Specifically Ada: language elements, data types, declarations, expressions, statements, sub programs, input/output, recursion, program structure, packages. Data structures such as arrays, records and files. A minor project assignement. Specifically MatLab: language elements, expressions, statments, sub programs, input/output (textually and graphically), recursion. Data structures such as vectors and matrices. The MatLab tool in general and the basic built-in functions related to algebra.

Teaching and working methods

The course consists of lectures and laborative exercises.

Examination

UPG2	Optional lab assignment	0 credits	U, G
LAB4	Laboratory work in Matlab	2.5 credits	U, G
LAB2	Laboratory work in ADA	2.5 credits	U, G
DAT2	Computer examination	1 credits	U, 3, 4, 5

Grades

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

Other information

Supplementary courses: Programming

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Torbjörn Jonsson

Course website and other links

http://www.ida.liu.se/~TDDD44

Education components

Preliminary scheduled hours: 88 h
Recommended self-study hours: 72 h

Course literature

Se kurshemsidan för rekommendationer.

Code	Name	Scope	Grading scale
UPG2	Optional lab assignment	0 credits	U, G
LAB4	Laboratory work in Matlab	2.5 credits	U, G
LAB2	Laboratory work in ADA	2.5 credits	U, G
DAT2	Computer examination	1 credits	U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

Se kurshemsidan för rekommendationer.

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)			X
	1.2 Fundamental engineering knowledge (G1X level)	X	X
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving		X
	2.2 Experimentation, investigation, and knowledge discovery	X
	2.3 System thinking	X	X
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork
	3.2 Communications
	3.3 Communication in foreign languages
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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