Filters, 6 credits

Filter, 6 hp

TSEI10

The course is disused. Replaced by TSEI68.

Main field of study

Electrical Engineering

Course level

First cycle

Course type

Programme course

Examiner

Håkan Johansson

Director of studies or equivalent

Klas Nordberg

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6IELK Engineering Electronics 4 (Spring 2017) 1 2 English Linköping, Valla E
6IELK Engineering Electronics (Biomedical Engineering) 4 (Spring 2017) 1 2 English Linköping, Valla E
6IELK Engineering Electronics (Electronic Design) 4 (Spring 2017) 1 2 English Linköping, Valla E

Main field of study

Electrical Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Engineering Electronics

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

Circuit Theory

Intended learning outcomes

The aim of the course is to provide insight into principles and methods for design of analog filters. After the course, the student will be able to understand:

  • basic concepts and principles for design of analog filters
  • realization of filters using standard approximations and frequency transformations
  • realization of passive LC filters with optimal element sensitivity
  • sensitivity properties of second-order sections
  • realization of higher-order filters using coupled forms, immitance and topological simulation.

Course content

The lectures, exercises, and laboratory work cover:

  • basic concepts and properties of analog filters
  • approximation theory and synthesis of transfer functions using MATLAB and Tables
  • equalization of the group delay
  • realization of passive filters with optimal element sensitivity
  • realization of doubly resistively terminated LC filters
  • realization of passive filters with distributed circuit elements
  • n-ports, immitance converters and inverters, gyrators, transformers, op-amps, transconductors, and current conveyors
  • realization of second-order sections using op-amps, transconductors, and current conveyors
  • sensitivity properties of active filters
  • realization of a transfer function using coupled forms, immitance simulation, and topological simulation.
  • scaling of signal levels

Teaching and working methods

Lectures, lessons, and laboratory work.

Examination

LAB1Laboratory Work2 creditsU, G
TEN1Written Examination4 creditsU, 3, 4, 5

Grades

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

Other information

Supplementary courses: Analog Electronic Circuits, Analog and Discrete-Time Integrated Circuits

Department

Institutionen för systemteknik

Director of Studies or equivalent

Klas Nordberg

Examiner

Håkan Johansson

Course website and other links

http://www.commsys.isy.liu.se/en/student/kurser/TSEI10

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h

Course literature

L. Wanhammar: Analog Filters Using MATLAB, 2009, Springer.
Code Name Scope Grading scale
LAB1 Laboratory Work 2 credits U, G
TEN1 Written Examination 4 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. 

L. Wanhammar: Analog Filters Using MATLAB, 2009, Springer.

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

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
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)
X
X

                            
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
X
X

                            
2.3 System thinking
X

                            
2.4 Attitudes, thought, and learning
X

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X

                            
3.2 Communications
X

                            
3.3 Communication in foreign languages
X

                            
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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