This course will look at how commerce in information content (websites, books, databases, music, movies, software, etc.) functions. Both quantitative and qualitative evaluation strategies will be discussed. As a central theme, the course will promote the processes of usability engineering, introducing the concepts of participatory design, requirements analysis, rapid prototyping, iterative development, and user evaluation. Theories, principles and design guidelines will be surveyed for both classical and emerging interaction paradigms, with case studies from practical application scenarios. Technological concerns will be examined that include interaction styles, devices, constraints, affordances, and metaphors.
It will motivate practical design guidelines for information presentation through Gestalt theory and studies of consistency, memory, and interpretation. The course will address the presentation of information and the design of interaction from a human-centered perspective, looking at relevant perceptive, cognitive, and social factors influencing in the design process. This course will provide a survey of HCI theory and practice. The field of Human Computer Interaction (HCI) encompasses the design, implementation, and evaluation of interactive computing systems.
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Additional course topics will include the use of version control systems, software profiling, general software engineering practices and basic shell scripting. The course will include an introduction to the python scientific computing libraries and other statistical packages.
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Periodic code reviews will be held in order to expose students to a range of different solution methods, which will aid them in discovering weaknesses in their own work and will improve their ability to communicate with others on technical topics.
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In addition, students will design their own algorithmic solutions to problems and will learn how to effectively compare different solutions, evaluating efficiency in order to choose the best solution for a given problem. Students will practice problem decomposition and abstraction, gaining experience in identifying commonly occurring information processing issues and in applying well-known solutions. Throughout the semester students will be faced with information application problems drawn from several different disciplines in order to expand their breadth of experience while simultaneously increasing their depth of knowledge of scientific and informatics programming methods. A key goal of this course is to prepare students for upper division ISTA courses by expanding on the skills gained in ISTA 116 and 130 but will be broadly applicable to any informatics discipline.
Retrieved July 6, 2020.This course will provide an introduction to informatics application programming using the python programming language and applying statistical concepts from a first semester statistics course. "The 5 best Cool Math Games for kids to play in 2020". ^ " Competitive Analysis, Marketing Mix and Traffic"."Virtual Senior Night: Celebrating spring sports athletes in Rankin County". ^ "School Support March: Enriching Our Children's Minds Amidst Social Distancing".
"Is Cool Math Games shutting down in 2020? Everything you need to know". ^ "The Sites That Mean the Most to Us"."Despite rumors, Cool Math Games is not shutting down in 2020". "No, Cool Math Games Isn't Shutting Down: Company Confirms Adobe Flash 2020 Shutdown Won't Kill The Site".
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