Assessment of foundation courses for recruiting non-CS students into master program in computer science

Kongmunvattana, Angkul; Summers, Wayne

doi:10.1145/2184512.2184602

Cited by 1 publication

(2 citation statements)

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“…This assignment enabled students to write code efficient in both space and time while tackling a ubiquitous problem from big data. The second assignment revolved around the implementation of a simplistic web browser with custom rendering of HTML 2.0 18 . Students had to leverage concepts from HTTP data retrieval, XML parsing, GUI design, and concurrency to effectively implement this task.…”

Section: Assignmentsmentioning

confidence: 99%

“…To remedy this, some institutions have started offering specialized foundational courses to help students in transitioning from a non computer science background into a graduate degree in CS. Interestingly, having these courses as part of the graduate curriculum has increased enrollment in some cases [18]. In addition, it can whet the appetite of PhD students and prepare them to tackle domain specific challenges as programming spans multiple disciplines [2].…”

Section: Introductionmentioning

confidence: 99%

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The Zen of Graduate-level Programming

Nabi

2014

Preprint

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The ubiquity of technology in our daily lives and the economic stability of the technology sector in recent years, especially in areas with a computer science footing, has led to an increase in computer science enrollment in many parts of the world. To keep up with this trend, the undergraduate computer science curriculum has undergone many revisions, analysis, and discussion. Unfortunately, the graduate level curriculum is lagging far behind in computer science education literature and research. To remedy this, we present the blueprint and execution of a graduate level course in programming, designed specifically to cater to the needs of graduate students with a diverse background both in CS and other fields. To this end, the course is divided into two halves. In the first half, students are introduced to different programming concepts, such as multi-paradigm programming, data structures, concurrency, and security to bring them up to speed and provide a level playing field. In the second half, all of these concepts are employed as building blocks to solve real-world problems from data mining, natural language processing, computer vision, and other fields. In addition, the paper also discusses in detail the evaluation instruments employed for the course. Moreover, we also share anecdotal information around student feedback, course design, and grading that may be useful for others who wish to replicate our curriculum or sketch a similar course.

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Section: Assignmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%