scholarly journals Application of Automated System for University Course Timetable Scheduling: an Algerian case study

2021 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Rabab Boukli Hacene ◽  
Mohamed Amine CHERIER ◽  
Talib Hicham Betaouaf
Keyword(s):  
Automated System ◽  
University Course

Application of automated system for university course timetable scheduling: an Algerian case study

2021 ◽  
Vol 7 (1/2) ◽  
pp. 86
Author(s):  
Talib Hicham Betaouaf ◽  
Rabab Boukli Hacene ◽  
Mohamed Amine Cherier
Keyword(s):  
Automated System ◽  
University Course

A Constraint-Based Dental School Timetabling System

AI Magazine ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 53
Author(s):  
Hadrien Cambazard ◽  
Barry O'Sullivan ◽  
Helmut Simonis
Keyword(s):  
University Hospital ◽  
Dental School ◽  
Automated System ◽  
Mixed Integer ◽  
Analysis Tool ◽  
Course Scheduling ◽  
Java Application ◽  
School Timetabling ◽  
Programming Solution ◽  
University Course

We describe a constraint-based timetabling system that was developed for the dental school based at Cork University Hospital in Ireland. This sy stem has been deployed since 2010. Dental school timetabling differs from other university course scheduling in that certain clinic sessions can be used by multiple courses at the same time, provided a limit on room capacity is satisfied. Starting from a constraint programming solution using a web interface, we have moved to a mixed integer programming-based solver to deal with multiple objective functions, along with a dedicated Java application, which provides a rich user interface. Solutions for the years 2010, 2011 and 2012 have been used in the dental school, replacing a manual timetabling process, which could no longer cope with increasing student numbers and resulting resource bottlenecks. The use of the automated system allowed the dental school to increase the number of students enrolled to the maximum possible given the available resources. It also provides the school with a valuable “what-if” analysis tool.

University Course Timetabling Using ACO: A Case Study on Laboratory Exercises

2010 ◽  
pp. 100-110 ◽  
Author(s):  
Vatroslav Dino Matijaš ◽  
Goran Molnar ◽  
Marko Čupić ◽  
Domagoj Jakobović ◽  
Bojana Dalbelo Bašić
Keyword(s):  
Course Timetabling ◽  
University Course Timetabling ◽  
University Course

An Integrated Experimental-Numerical Case Study for a University Course About Dynamic Design of Turbomachinery

2007 ◽  
Author(s):  
G. Cenci ◽  
M. Pinelli
Keyword(s):  
Fluid Dynamic ◽  
Three Dimensional ◽  
Practical Experience ◽  
Great Effort ◽  
Dynamic Design ◽  
Engineering Department ◽  
University Course ◽  
The University ◽  
Numerical Case Study

In the paper, the development of an integrated experimental-numerical case study for a university course of Fluid Dynamic Design of Turbomachinery (FDDT) is presented. Since 2004, a FDDT course has been held at the Engineering Department of the University of Ferrara (Italy). The basic idea of the FDDT course is to introduce the basic and advanced ideas beyond the design of turbomachinery supported by the use of integrated three-dimensional tools. Within the course, great effort has been devoted to practical experience, both numerical and experimental. In particular, the study of a simple but exhaustive geometry may represent a good exercise where students can practically and effectively train. For this reason, during the FDDT course, a centrifugal pump has been studied both experimentally and numerically as a test geometry. In the paper, the phases necessary to carry out this kind of project are presented and discussed.

Book Reviews

2013 ◽  
Vol 51 (1) ◽  
pp. 192-193
Keyword(s):  
Game Theory ◽  
Strategic Thinking ◽  
Harvard University ◽  
University Of Pennsylvania ◽  
Competition And Cooperation ◽  
Individual Decisions ◽  
University Course ◽  
Group Agreement

Cade Massey of University of Pennsylvania reviews, “Schelling's Game Theory: How to Make Decisions” by Robert V. Dodge. The EconLit abstract of this book begins: “Explores Thomas Schelling's contributions to the field of rational strategic analysis and game theory, focusing on content from his Harvard University course on rational choice, bargaining, and strategy. Focuses on the Schelling approach to strategic thinking and decision making; strategies and tactics; models as metaphors for what decisions do; the prisoner's dilemma, competition, and cooperation; individual decisions and group agreement; decisions that mix and sort populations and decisions based on randomization; and a case study of the Cuban Missile crisis. Dodge is retired from teaching social studies at the Singapore American School. Index.”

scholarly journals A MULTI CRITERIA RECOMMENDATION MODEL FOR JAUNT

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 879-884
Author(s):  
A. Razavi ◽  
F. Hosseinali
Keyword(s):  
Recommender Systems ◽  
Automated System ◽  
Background Information ◽  
Board Game ◽  
Considerable Time ◽  
Short Term ◽  
The Cost ◽  
Mixed Groups ◽  
The City

Abstract. Nowadays, people in most parts of the world always visit, travel and have fun in their cities or other cities, and they spend considerable time and money in their city or in other cities as a tourist. The existence of an intelligent and automated system that can provide the most suitable recreational and cultural offerings at any time and place, with regard to financial capability and time and transport constraints, as well as individual interests and personalization; has always been felt. Recommender systems can be used to suggest suitable recreational options for the user. The main difference between the recommendation model in this study and the previous models is to focus on the short-term planning of a few hours for one day. Previous models were often based on planning a few days a week or days of the month. Also, the cost factor has been considered in this research, which has been less considered in previous models. We used collaborative filtering based on logistic regression to predict whether a type of places is a proper proposition to a user or not. Our case study is about recommending the board game cafés in the city of Kerman, Iran and the result shows that mixed groups between 15 to 30 years old are the best target and our model can predict if board game café is a good suggestion to different users. We used correlation based recommender systems when board game cafes are a proper suggestion for a user and there are at least two options for the user. In case there is no information about the user and his previous rating, popularity based recommender system can be useful. We also used content based recommender systems to give recommendations by having some background information about previous itineraries of a user and his rating to those.

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