Page 94 - B.E CSE Curriculum and Syllabus R2017 - REC

Department of CSE, REC

UNIT V GRAPHICAL MODELS 9
Markov Chain Monte Carlo Methods – Sampling – Proposal Distribution – Markov Chain Monte Carlo –
Graphical Models – Bayesian Networks – Markov Random Fields – Hidden Markov Models – Tracking
Methods.
TOTAL: 45 PERIODS
OUTCOMES:
On successful completion of this course, the student will be able to:
● Distinguish between, supervised, unsupervised and semi-supervised learning.
● Modify existing machine learning algorithms to improve classification efficiency.
● Suggest supervised, unsupervised or semi-supervised learning algorithms for any given problem.
● Design systems that use the appropriate graph models of machine learning.
● Apply the apt machine learning strategy for any given problem.

TEXT BOOKS:
1. Stephen Marsland, Machine Learning – An Algorithmic Perspective‖, Second Edition, Chapman and
Hall/CRC Machine Learning and Pattern Recognition Series, 2014.
2. Tom M Mitchell, Machine Learning‖, First Edition, McGraw Hill Education, 2013.

REFERENCES:
1. Peter Flach, Machine Learning: The Art and Science of Algorithms that Make Sense of Data‖, First
Edition, Cambridge University Press, 2012.
2. Jason Bell, Machine learning – Hands on for Developers and Technical Professionals‖, First Edition,
Wiley, 2014.
3. Ethem Alpaydin, Introduction to Machine Learning 3e (Adaptive Computation and Machine Learning
Series), Third Edition, MIT Press, 2014.

CS17E75 HUMAN COMPUTER INTERACTION L T P C
(Common to B.E. CSE and B.Tech. IT) 3 0 0 3

OBJECTIVES:
 To learn the foundations of Human Computer Interaction.
 To be familiar with the design technologies and software process
 To learn human interaction models and theories
 To be aware of Design thinking concepts.
 To learn the guidelines of design thinking and apply it.

UNIT I FOUNDATIONS OF HCI 9
The Human: I/O channels – Memory – Reasoning and problem solving; The computer: Devices – Memory –
processing and networks; Interaction: Models – frameworks – Ergonomics – styles – elements – interactivity.

UNIT II DESIGN & SOFTWARE PROCESS 9
Interactive Design basics – process – scenarios – navigation – screen design – Iteration and prototyping. HCI
in software process – software life cycle – usability engineering – Prototyping in practice – design rationale.
Design rules – principles, standards, guidelines, rules. HCI Patterns

UNIT III MODELS AND THEORIES 9
Cognitive models –Socio-Organizational issues and stake holder requirements –Communication and
collaboration models

UNIT IV FOUNDATIONS OF DESIGN THINKING 9
Why Design Thinking – The Design Process – Design Criteria – Visualization – Journey Mapping – Value
Chain Analysis – Mind Mapping – Case Studies

Curriculum and Syllabus | B.E. Computer Science and Engineering | R2017 Page 94