Functional Programming and Intelligent Algorithms
(Last Update: 1 February 2015)
- Module Description
Please see the
Please see the reading list.
- Selected chapters from the textbooks,
as indicated under core reading in the
- All exercises and tutorials.
- All lectures (both video and classrom lectures).
We will explore using Piazza for online discussion and interactivity,
as well as for keeping a written record of Q&A. Please enrol at
FPIA on Piazza.
The module is worth 7.5
ECTS credits. By official standards,
that corresponds to a workload of 187½-225 hours, or
about 47-56 hours per week throughout the four weeks we have.
All the teaching material is covered by copyright and related
legislation. Redistribution in any form or
forum is prohibited.
You may use it as you like for personal purposes only.
The assessment is by written, closed-book exam only.
Even so, we strongly recommend you to do all the practical exercises
throughout the module, simply because it is the easiest way to learn
and understand the syllabus.
- Week 1
- Your first implementation of a neural networks.
You will learn the necessary basics of functional programming,
as well as the principles of machine learning and the
construction of neural networks with backpropagation learning.
- Week 2
- Variations over neural networks.
We will discover new variations of neural networks and learn
additional techniques from functional programming.
- Week 3
- Genetic algorithms.
- Week 4
- Exam revision (largely unsupervised).
During the three main weeks of teaching, we work full days in the
class room. Lecturers will be available part of the time, both
to give lectures, lead discussions over solutions, and to supervise
practical work. The exact timetable may vary from day to day,
depending on activities and arising needs.
Hans Georg Schaathun /