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Concept

Undergraduate education

Undergraduate education is education conducted after secondary education and before postgraduate education. It typically includes all postsecondary programs up to the level of a bachelor's degree. For example, in the United States, an entry-level university student is known as an undergraduate, while students of higher degrees are known as graduate students. Upon completion of a number of required and elective courses as part of an undergraduate program, the student would earn the corresponding degree. (In some regions, individual "courses" and the "program" collection are given other terms, such as "units" and "course", respectively.) In some other educational systems, undergraduate education is postsecondary education up to and including the level of a master's degree; this is the case for some science courses in Britain and some medicine courses in Europe. Programs Africa Nigerian system In Nigeria, undergraduate degrees (excluding Medicine, Medical La

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Concepts associés (22)

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Postgraduate education

Postgraduate education, graduate education, or grad school, refers to academic or professional degrees, certificates, diplomas, or other qualifications usually pursued by post-secondary students wh

Doctor of Philosophy

A Doctor of Philosophy (PhD, Ph.D., or DPhil; Latin: philosophiae doctor or doctor philosophiae) is the most common degree at the highest academic level, awarded following a course of study and rese

Enseignement supérieur

vignette|Université de Berkeley en Californie Le terme d’études supérieures (parfois appelées ), ou d'enseignement supérieur, désigne généralement l'instruction dispensée par les universités, les col

Learning Finance with Games: An Empirical Study

Sandy Ingram, Rania Islambouli

This paper presents an empirical case study on applying game-based learning in an undergraduate finance course. The paper describes the experimental study context, protocol, and results. Using multivariate regression analysis, a significant game effect on student performance is observed for competitive strategy-based games.

IEEE2021

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Distributed Awareness for Class Orchestration

Pierre Dillenbourg, Frédéric Kaplan, Hamed Seiied Alavi

The orchestration process consists of managing classroom interactions at multiple levels: individual activities, teamwork and class-wide sessions. We study the process of orchestration in recitation sections, i.e. when students work on their assignments individually or in small groups with the presence of teaching assistants who give help on demand. Our empirical study revealed that recitation sections suffer from inefficient orchestration. Too much attention is devoted to the management of the relationship between students and teaching assistants, which prevent both sides from concentrating on their main task. We present a model of students’ activities during recitation sections that emphasize the issue of mutual awareness, i.e. monitoring help needs and TA's availability. To tackle these difficulties, we developed two awareness tools. Both tools convey the same information: which exercise each group is working on, whether it has asked for help and for how long. In the centralized version, named Shelf, students provide information with a personal response system and the status of each team is juxtaposed on a central display. In the distributed version, named Lantern, each team provides information by interacting with a lamp placed on its table. The display is distributed over the classroom, the information being spatially associated to each group. We are now comparing these two versions in an empirical study with two first year undergraduate classes in Physics. Preliminary results show that both versions increase the efficiency of interaction between students and teaching assistants. This contribution focused on the distributed version.

Springer2009

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Distributed Awareness for Class Orchestration

Pierre Dillenbourg, Frédéric Kaplan, Hamed Seiied Alavi

The orchestration process consists of managing classroom interactions at multiple levels: individual activities, teamwork and class-wide sessions. We study the process of orchestration in recitation sections, i.e. when Students work on their assignments individually or in small groups with the presence of: teaching assistants who give help on demand. Our empirical study revealed that recitation sections suffer from inefficient orchestration. Too much attention is devoted to the management of the relationship between Students and teaching assistants, which prevent both sides from concentrating on their mail) task. We present a model of students' activities during recitation sections that emphasize the issue Of Mutual awareness, i.e. monitoring help needs and TA's availability. To tackle these difficulties, we developed two awareness tools. Both tools convey the same information: which exercise each group is working on, whether it has asked for help and for how long. In the centralized version, named Shelf, students provide information with a personal response system and the Status Of each team is juxtaposed on a central display. In the distributed version, named Lantern, each team provides information by interacting with a lamp placed oil its table. The display is distributed over the classroom, the information being spatially associated to each group. We are now comparing these two versions ill an empirical study with two first year undergraduate classes in Physics. Preliminary results show that both versions increase the efficiency of interaction between students and teaching assistants. This contribution focused on the distributed version.

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009

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ENV-444: Exploratory data analysis in environmental health

This course teaches how to apply exploratory spatial data analysis to health data. Teaching focuses on the basics of spatial statistics and of epidemiology, and proposes a context to analyse geodatasets making it possible to study the relationship between health and the environment.

CS-470: Advanced computer architecture

The course studies techniques to exploit Instruction-Level Parallelism (ILP) statically and dynamically. It also addresses some aspects of the design of domain-specific accelerators. Finally, it explores security challenges based on microarchitectural features and hardware isolation techniques.

CS-401: Applied data analysis

This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.)