MBIB4230 Information Retrieval Emneplan

Corporate finance consists of the financial activities related to running a corporation with a focus on maximizing shareholder value. This course in advanced corporate finance looks at current research articles published in top academic journals to identify how companies implement corporate finance activities in practice.

There is one final 4-hour exam at the end of the semester.

Students who fail the exam and students with legitimate absence from the exam are entitled to a new/deferred exam according to Regulations relating to Studies and Examinations at HiOA.

None.

Knowledge

After completion of the course, the student has

• advanced knowledge of the theoretical fundaments for a variety of models for automatic information retrieval, and how the models can be realized with various algorithms
• advanced knowledge of user oriented views on information retrieval, both cognitive and social views, and their consequences for user interface, relevance judgements and interactivity in the retrieval process
• advanced knowledge of linked data and other semantic tools used to structure and make data available, and how to utilize such data
• thoroughly knowledge of practical experiments for evaluating information retrieval systems and models
• advanced knowledge of computational linguistics for analyzing grammar and semantics, and how this can be used in automatic information retrieval system

Skills

After completion of the course, the student can

• participate in, and have practical experience with the development and implementing of user friendly information retrieval systems and modules
• evaluate such systems in order to obtain and use them

Lectures, tasks and seminars. This includes presentation of a term paper, made individually or in groups, for discussion. Teaching will be in English when there are foreign exchange students present.

The course requirement is either a report on a laboratory assignment or an essay on one or more of the course subtopics, written either individually or in groups of 2-3 students. The course requirement is chosen in cooperation with a course teacher, and also entails an oral presentation at the end of the course. Each student is assigned an opposition of one of the other students' assignments. The course requirements has to be approved to qualify for final grading.

The student should have the following learning outcomes upon successful completion of the course:

Knowledge

The student has

• advanced knowledge and insight about different IR evaluation approaches
• advanced knowledge about central concepts, models, and methods for IIR evaluation and user studies
• advanced knowledge about how to conduct IIR evaluation and user studies

Skills

The student can

• reflect on central models and methods for IIR evaluation and user studies
• assess relevant methods, and combinations of these, for IIR evaluation and user studies
• identify and compare key evaluation concepts for IIR evaluation and user studies
• use advanced knowledge on central concepts, models, and methods to conduct IIR evaluation and user studies

General competence

The student is able to

• disseminate and give an account of different IR evaluation approaches
• analytically assess relevant methods, and combinations of these, for IIR evaluation and user studies
• independently design, plan, and conduct different types of IIR evaluations and user studies

All examination support materials are permitted. However, sources must be stated in accordance with applicable rules for source references.

Grading scale A-F.

The student conducts an empirical study based on the course (in the form of a pilot study).

The empirical study can be made individually, or in groups of 2-3 students.