Course Unit / Data Analysis and Transformation

Data Analysis and Transformation

Year
2
Academic year
2013-2014
Code
01000169
Subject Area
Computer Science
Language of Instruction
Portuguese
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Compulsory
Level
1st Cycle Studies

Recommended Prerequisites

Mathematical Analysis I, Mathematical Analysis II, Linear Algebra and Analytic Geometry, Statistics, Introduction to Programming and Problem Solving, Information Theory

Teaching Methods

- Theoretical classes (2 hours weekly) for presentation and discussion of the matter and problem solving, establishing links with the theoretical-practical classes, using slides and computer demonstrations.

 - Theoretical-practical classes (1 hour weekly) for introduction to analytical and computational resolution of practical exercises.

 - Practical Laboratorial classes (2 hours weekly) to support the execution of practical works.

 

Work Placement(s)

No

Head Lecturer(s)

Rui Pedro Pinto de Carvalho e Paiva

Assessment Methods

Assessment
4 Practical works + two oral defenses: 30.0%
Exam: 70.0%

Bibliography

- Steven Smith, “The Scientist and Engineer’s Guide to Digital Signal Processing”, 1997, eBook: http://www.dspguide.com/

- A. V. Oppenheim, R. W. Shafer, Discrete-time signal processing, 2nd ed. Prentice-Hall, 1999

- K. Sayood, Introduction to data compression, 2nd edition, Morgan Kaufman, 2000

- J. Stein, Digital Signal Processing – a computer science perspective, Wiley, 2000

- E. Kamen, B. Heck, Fundamentals of Signals and Systems - Using Matlab, Prentice Hall, 1997