Data Structures and Algorithms, 6 credits

Datastrukturer och algoritmer, 6 hp

TDDI16

Course starting semester

Main field of study

Computer Science and Engineering Programming

Course level

First cycle

Course type

Programme course

Examiner

Rita Kovoranyi

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 42 h
Recommended self-study hours: 118 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6IDAT	Computer Engineering, B Sc in Engineering	3 (Autumn 2017)	1	3	Swedish	Linköping, Valla	C
6KIPR	Programming, Bachelor's Programme	3 (Autumn 2017)	1	3	Swedish	Linköping, Valla	C

Main field of study

Computer Science and Engineering, Programming

Course level

First cycle

Advancement level

G1X

Course offered for

Computer Engineering, B Sc in Engineering
Programming, Bachelor's Programme

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

Basic course in programming in C++. Discrete mathematics.

Intended learning outcomes

Upon completion of this course the student should be able to describe how frequently used data structures and algorithms are constructed, explain their different properties, e.g. regarding efficiency in different aspects, and to use them in application programs.

Course content

The lectures covers data structures and algorithms from a principal point of view, but based on concrete examples. Data structures covered are lists, stacks, queues, graphs, special trees, and hash tables, which also include algorithms for operating on these data structures. The general algorithms covered are algorithms for searching and sorting. Basic analysis of requirements regarding time and space for the data structures and algorithms is included. The lessons are dedicated to some preparation of the programming exercises but mainly for solving problems concerning data structures and algorithms, and are in that respect preparing for the written exam. The programming exercises is a series of smaller programming exercises.

Teaching and working methods

The course is arranged as a series of lectures, lessons and programming exercises. Self-study hours must be set aside for literature studies and programming.

Examination

UPG1	Computer based hand-in assignment	2 credits	U, G
LAB1	Programming assignments	2 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

The computer exam tests the students knowledge about data structures and algorithms.
The programming exercises give the student opportunity to analyze, design, implement and use, in various extent, a selection of data structures and algorithms.

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Rita Kovoranyi

Course website and other links

http://www.ida.liu.se/~TDDI16/

Education components

Preliminary scheduled hours: 42 h
Recommended self-study hours: 118 h

Course literature

Additional literature

Other

Code	Name	Scope	Grading scale
UPG1	Computer based hand-in assignment	2 credits	U, G
LAB1	Programming assignments	2 credits	U, G
DAT1	Computer examination	2 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)

Additional literature

Other

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	X	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	X
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking		X	X
	2.4 Attitudes, thought, and learning		X	X
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork		X	X
	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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