Syllabus

LEARNING OUTCOMES

1. Demonstrate working knowledge of fundamental principles, theories, and application of conversational AI systems and voice interaction techniques.

2. Critically examine prior literature and emerging research in conversational AI and voice interaction including Natural Language Processing (NLP) and multi-modal interaction methods.

3. Design conversational systems for human-centered interaction in applied domains such as healthcare, customer service, and playful interaction contexts (home, museums, and school settings), with diverse users including children, the elderly, and people with special needs.

4. Conduct rapid prototyping of working applications or proof-of-concept designs for conversational AI and/ or voice-based interaction in applied domains of interest.

5. Assess the usability and implications of using such systems with intended participants and users.

Credits: 5

Schedule: 21.03.2024 - 06.06.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Nitin Sawhney

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

• applies in this implementation

  
  

Assessment Methods and Criteria

• applies in this implementation

  Students will be evaluated (grades 0 to 5) based on the following criteria:

  a. Active participation seminar - interaction, QA (10% of overall grade)
  b. Active participation in lab sessions - interaction (15% of overall grade)
  c. Team project (75% of overall grade)
  
  a. Interim (25%)
  
  i. Concept presentation (10%)
  ii. Concept paper (3-5 pages, 15%)
  
  b. Final (50%)
  
  i. Presentation (10%)
  ii. Prototype (20%)
  iii. Final paper (8-10 pages, 20%)
  
  
  

Workload

• applies in this implementation

  Lecture Seminars: 12 x 2 h = 24 h
  Group work: 12 x 2 h = 24 h
  Laboratory work: 12 x 1 h = 12 h
  Readings & Reflection: 10 x 3 h = 30 h
  Project work: 10 x 5 h =50 h
  

  Total: 134 h
  

DETAILS

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  This course introduces fundamental principles, techniques, and methods for designing, prototyping, and evaluating systems using conversational AI and/ or voice interaction. Such systems may leverage Natural Language Processing (NLP), dialogue modeling, Human-Computer Interaction (HCI), generative AI, speech recognition, and synthesis. In this course, students can gain an understanding of how to apply these methods through critical literature in the field, domain-specific case studies, and hands-on tutorials for project-based learning, participatory design, and user experience evaluation.

  The course will support the design of responsible and ethical conversational AI systems for human-centered interaction in applied domains such as healthcare, customer service, and playful interaction contexts (such as home, museums, and school settings), with diverse users including children, migrants, and people with special needs.

  This is a highly interactive class: you’ll be expected to actively participate in activities, projects, assignments, design critiques, and discussions.

Description