Tentalabbet

TSTE87 · 6 credits · Advanced level (A1N) · Datateknik, Elektroteknik

Application-Specific Integrated Circuits

Active · next start VT 2027

83%

passed the latest ordinary exam

TEN1 · 3 Jun 2026 · 18 students

76%

passed the ordinary exams, all sittings over the last 5 years

TEN1 · 80 students

83%

Harder than 83% of courses at advanced level

Compared with 285 courses at the same level, ordinary exams over the last three academic years. 39 students.

Part of 5 programmes

Exam

TEN1 Written Examination

  • 5
  • 4
  • 3
  • U

Ordinary exams

76% passed · 80 students

  • 83%18
  • 62%21
  • 83%18
  • 80%10
  • 77%13

Re-exams

42% passed · 19 students

  • 40%5
  • 43%14
  • Pass the re-exam: 42% (19 students), compared with 76% (80 students) on the ordinary exam
  • Get 4 or 5: 37% (99 students)
Show small sittings (8)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 50%2
  • 50%2
  • 75%4
  • 100%1
  • 50%2
  • 100%3
  • 50%2
  • 67%3

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

LAB1 Laboratory Work

  • G

Main rounds

100% passed · 76 students

  • 100%8
  • 100%9
  • 100%22
  • 100%7
  • 100%9
  • 100%8
  • 100%13

Later rounds

No sittings with at least 5 students.

    Show small sittings (6)

    Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

    • 100%2
    • 100%2
    • 100%1
    • 100%1
    • 100%2
    • 100%1

    Other module

    MUN1 Optional Oral Examination

    • G

    Main rounds

    100% passed · 40 students

    • 100%8
    • 100%13
    • 100%11
    • 100%8

    Later rounds

    No sittings with at least 5 students.

      Show small sittings (8)

      Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

      • 100%1
      • 100%2
      • 100%1
      • 100%3
      • 100%4
      • 100%1
      • 100%2
      • 100%1

      Other module

      MUN2 Optional Oral Examination

      • G

      Main rounds

      100% passed · 35 students

      • 100%6
      • 100%11
      • 100%11
      • 100%7

      Later rounds

      No sittings with at least 5 students.

        Show small sittings (7)

        Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

        • 100%1
        • 100%2
        • 100%1
        • 100%4
        • 100%3
        • 100%3
        • 100%1

        About the course

        Aim

        General methods and principles used for designing and implementing application specific integrated circuits are presented. The emphasis is put on a systematic design methodology going from system specification down to complete integrated circuit. After completing the course you are expected to be able to:

        • Analyze computational properties of signal processing algorithms
        • Determine resource requirements for implementation of signal processing algorithms
        • Determine the suitability of different types of architectures for implementation of signal processing algorithms
        • Synthesize nearly optimal architectures
        • Realize and evaluate different types of processing elements
        • Determine limits on the obtainable data rate
        • Determine a computational order of operations
        • Compute the latency and execution time of operations and determine the impact of these properties
        • Determine computational graphs and optimize schedules
        • Define and analyze different types of optimality in parts of the design flow
        • Determine and optimize resource allocation and resource assignment
        • Synthesize and analyze different architectures for signal processing systems
        • Realize different types of processing elements using different arithemtic styles

        Content

        System design and implementation using VLSI-technology or FPGA-technology of some signal processing applications, e.g., digital filters, FFT, and DCT. System specification, system architecture, analysis of computing properties of DSP algorithms. Synthesis of optimal DSP architectures. Conventional implementation methodologies. Processing elements and arithmetic. Implementation aspects.

        Examiner
        Oscar Gustafsson
        Scheduled hours
        68 h
        Main field of study
        Datateknik, Elektroteknik
        Syllabus on Studieinfo ↗