Studying science and engineering at UCT : students' background, experience of science an reasons for studying science or engineering by Laugksch, Diane

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Feature engineered embeddings for machine learning on molecular data

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Social engineering : a discourse in applied social science by Pocock, Louis John

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The role of the administrator in the management of data quality in higher education: case study in a health sciences faculty by Simpson, Marquard

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The nature of engineering and science knowledge in curriculum: a case study in thermodynamics by Smit, Reneé

“…The work is theoretically informed by two fields of scholarly work: the sociology of educational knowledge (in particular the work of Basil Bernstein) and the applied philosophies of science and engineering science, in order to develop a theoretical framework for analysis of the data. …”
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IGP traffic engineering : a comparison of computational optimization algorithms by Wang, Hong Feng

Subjects: “…Traffic engineering -- Data processing…”
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Developing a framework for data quality-focused RDM to guide the data management planning process in a Social Sciences Research Organisation

Subjects: “…Social sciences data…”
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The attitudes of academics to accomodating physically disabled students into the undergraduate civil engineering programme in the Faculty of Engineering and Science, University of... by Mayat, Nafisa

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The role of self-efficacy in the careers of women in the field of Science Technology Engineering and Mathematics (STEM)

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Stellenbosch University engineering and education students’ ranked priorities of science- and technology-related global problems by Barnard, Jadri Elizabeth

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Skills Requirements for Business Intelligence, Business Analytics, Big Data Analytics, and Data Science: An Analysis of South African Professionals by Kusena, Adelade

“…They are required to be holders of a degree in Information Systems (IS) or Computer Science or Engineering. The significant skills categories which were shown as needed across all the domains were Data manipulation and processing (Manipulate data using SQL, Transform data from different sources and load it to extract insights (ETL), Formulate validation strategies and methods to ensure accurate and reliable data, Ensure correct data and error handling, Perform data analysis and validation, Soft skills (Communicate effectively, verbally and in writing, Exhibit time management skills, Prioritize workload and work well under pressure, Demonstrate problem-solving skills, Demonstrate excellent analytical skills, Be able to work independently, Apply creativity and innovation), Designing and Coding (Apply agile development processes to achieve outstanding data solutions, Perform data modelling with SQL), and Reporting (Extract insights and trends from data). …”
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The epistemic properties in a typical engineering science course and its relation to student success: a case study by Awodele, Williams Abayomi

“…The study, therefore, investigates the epistemic properties of a typical third-year engineering science course in the department of electrical engineering at the University of Cape Town, as a case study. …”
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Market Simulations with a Matching Engine by Jericevich, Ivan

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Machine learning, data mining, and the World Wide Web : design of special-purpose search engines by Kruger, Andries F.

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A maturity model for data science in small and medium-sized enterprises from developing countries by Rautenbach, Simon

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Comparative international experiences in promoting women's participation and position in the science, engineering and technology fields : possible models for South Africa

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Online traffic engineering for MPLS networks by Botha, Marlene

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