Modul CS3150-KP08

Human and Machine Intelligence (HMI)


1 Semester
Turnus of offer:

each winter semester
Credit points:

Course of studies, specific field and terms:
  • Bachelor Medical Informatics 2019 (optional subject), computer science, 4th to 6th semester
  • Bachelor Computer Science 2019 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Computer Science 2019 (compulsory), Canonical Specialization Web and Data Science, 5th semester
  • Bachelor IT-Security 2016 (optional subject), computer science, Arbitrary semester
Classes and lectures:
  • Human and Machine Intelligence (seminar, 1 SWS)
  • Human and Machine Intelligence (exercise, 2 SWS)
  • Human and Machine Intelligence (lecture, 2 SWS)
  • 40 Hours exam preparation
  • 125 Hours private studies
  • 75 Hours in-classroom work
Contents of teaching:
  • Human intelligence and artificial intelligence
  • Different types of intelligence
  • Cognitive Systems
  • Human Development & Developmental Robotics
  • Hybrid Intelligence
  • Different forms of learning in humans/ artificial systems
  • Examples of problem-solving methods
  • Challenges of real environments
  • Embodied Systems
  • Social Intelligence
  • Human-robot Cooperation/Collaboration
  • Negative side of intelligence (bias, manipulation, control, lying, etc.)
  • The students can explain the central ideas, define the relevant concepts and explain the functioning of algorithms with help of application scenarios for all the items listed in contents of teaching.
Grading through:
  • portfolio exam - the concrete examination elements and their weights will be published in the course
Responsible for this module:
  • Lieto, A.: Cognitive Design for Artificial Minds - London/New York, Routledge (Taylor and Francis), 2021
  • S.J. Russell: Human Compatible: Artificial Intelligence and the Problem of Control - Penguin Books, 2020
  • S.J. Russell, P. Norvik: Artificial Intelligence: A Modern Approach - Upper Saddle River, N.J. :Prentice Hall, 2010
  • English, except in case of only German-speaking participants

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- Successful completion of exercise assignments as specified at the beginning of the semester
- Seminar lecture and elaboration according to the requirements at the beginning of the semester

Module Exam(s):
- CS3150-L1: Human and Machine Intelligence, written exam, 90min, 100% of module grade.

Letzte Änderung: