A quantitative approach for the design of academic curricula

Carlos Castro; BRODERICK   CRAWFORD LABRIN; Eric Monfroy

A quantitative approach for the design of academic curricula

Carlos Castro, BRODERICK CRAWFORD LABRIN, Eric Monfroy

SCHOOL OF COMPUTER ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

We present experimental results of solving mathematical models, using very efficient complete and incomplete techniques, for designing balanced academic curricula. Solutions to these models give curricula with academic load for each period as similar as possible. Based on this work, a software tool has been developed to help administratives as well as students in the planning of academic curricula.

Original language	English
Title of host publication	Human Interface and the Management of Information
Subtitle of host publication	Interacting in Information Environments - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
Pages	279-288
Number of pages	10
Edition	PART 2
State	Published - 1 Dec 2007
Event	Symposium on Human Interface 2007 - Beijing, China Duration: 22 Jul 2007 → 27 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4558 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Symposium on Human Interface 2007
Country	China
City	Beijing
Period	22/07/07 → 27/07/07

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Castro, C., CRAWFORD LABRIN, BRODERICK., & Monfroy, E. (2007). A quantitative approach for the design of academic curricula. In Human Interface and the Management of Information: Interacting in Information Environments - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings (PART 2 ed., pp. 279-288). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4558 LNCS, No. PART 2).

Castro, Carlos ; CRAWFORD LABRIN, BRODERICK ; Monfroy, Eric. / A quantitative approach for the design of academic curricula. Human Interface and the Management of Information: Interacting in Information Environments - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 2. ed. 2007. pp. 279-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Castro, C, CRAWFORD LABRIN, BRODERICK & Monfroy, E 2007, A quantitative approach for the design of academic curricula. in Human Interface and the Management of Information: Interacting in Information Environments - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4558 LNCS, pp. 279-288, Symposium on Human Interface 2007, Beijing, China, 22/07/07.

A quantitative approach for the design of academic curricula. / Castro, Carlos; CRAWFORD LABRIN, BRODERICK ; Monfroy, Eric.

Human Interface and the Management of Information: Interacting in Information Environments - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 2. ed. 2007. p. 279-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4558 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Castro C, CRAWFORD LABRIN BRODERICK, Monfroy E. A quantitative approach for the design of academic curricula. In Human Interface and the Management of Information: Interacting in Information Environments - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 2 ed. 2007. p. 279-288. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

A quantitative approach for the design of academic curricula

Abstract

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