THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Introduction to Research in Data Science (INFR11138)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThis course provides students with an overview of current research topics in data science. This overview is provided by guest lectures from researchers working throughout different areas of data science, including databases, machine learning, maths, natural language processing, computer vision, speech processing, and related areas.

Second, this course also features a small project to provide students with experience in applying data science methods. The goal of the project is to apply an existing data science method to a interesting real or realistic problem. The student will produce a short project report and poster presentation based on the project.
Course description This course provides students with an overview of current research topics in data science. This overview is provided by guest lectures from researchers working throughout different areas of data science, including databases, machine learning, maths, natural language processing, computer vision, speech processing, and related areas.

Second, this course also features a small project to provide students with experience in applying data science methods. The goal of the project is to apply an existing data science method to a interesting real or realistic problem. The student will produce a short project report and poster presentation based on the project.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2018/19, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 18, Seminar/Tutorial Hours 12, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 166 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Be able to identify current research issues and trends in data science.
  2. Gain increased fluency with main ideas and concepts across the different disciplines that make up data science.
  3. Gain experience in applying data science methods in practice. Develop skills in report writing and presentation writing.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Amos Storkey
Tel: (0131 6)51 1208
Email: A.Storkey@ed.ac.uk
Course secretaryMrs Sam Stewart
Tel: (0131 6)51 3266
Email: Sam.Stewart@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information