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CSE1010 Computer Science 1

Introductory · 1 credit · BIT - Business, Admin, Finance and IT

Description
Students explore hardware, software and processes. This includes an introduction to the algorithm as a problem-solving tool, to programming languages in general and to the role of programming as a tool for implementing algorithms.
Prerequisite
None
Parameters
Access to an appropriate computer work station, the Internet, a programming language/environment and associated support materials. It is recommended that the course be taught in tandem with one or more programming courses.
Supporting courses
CSE1110: Structured Programming 1 CSE1120: Structured Programming 2, and/or any Intermediate project course involving imperative programming

Outcomes The student will:

  • 1 identify and describe the nature, approaches and areas of interest of computer science

    • 1.1 define and describe computer science with consideration of:

      • 1.1.1 the main goal of the discipline

      • 1.1.2 the use of algorithms

      • 1.1.3 computer systems used to test and/or implement algorithms

      • 1.1.4 the translation of algorithms through programming

    • 1.2 describe the general areas of interest of computer science including:

      • 1.2.1 the theory of computation

      • 1.2.2 algorithms and data structures

      • 1.2.3 programming methodology and languages

      • 1.2.4 computer elements and architecture

      • 1.2.5 human–machine and machine–machine interfacing

      • 1.2.6 automata

      • 1.2.7 artificial intelligence

      • 1.2.8 visual and auditory rendering

      • 1.2.9 general development of information technology applications

    • 1.3 compare and contrast computer science, computer engineering and information technology; e.g., theoretical versus applied, general versus specific, exploratory versus applicatory

    • 1.4 describe some of the misconceptions associated with computer science; e.g., synonymous with programming, reliant on solitary individuals for the bulk of its advances, relatively little real-world contact, the learning of various computer applications

    • 1.5 computer science’s role in an information society

  • 2 demonstrate an understanding of the nature, design and use of basic algorithms associated with problems involving the sequential inputting, processing and outputting of data

    • 2.1 define algorithms and explain how they are used

    • 2.2 compare and contrast the “iterative and incremental” and “waterfall” models of software development

    • 2.3 demonstrate the analysis and design stages of a Systems Development Life Cycle model using appropriate tools; e.g., flowcharts, pseudocode, input/processing/output (IPO) charting

    • 2.4 demonstrate a number of core algorithms including:

      • 2.4.1 accumulation (keeping a running total)

      • 2.4.2 determining the mean

      • 2.4.3 determining minimums and maximums

  • 3 explain and demonstrate the nature of structured programming

    • 3.1 consider the rationale for structured programming

    • 3.2 consider GOTO-less programming

    • 3.3 consider three fundamental control structures—sequential, decision and iterative

  • 4 explain and demonstrate an understanding of the nature, evolution, types and role of programming languages

    • 4.1 describe how various programming languages have dealt with data representation; e.g., binary and hexadecimal systems, standard data types, data storage

    • 4.2 describe the nature of programming language, specifically that these languages:

      • 4.2.1 reflect a simplified version of natural language

      • 4.2.2 evolved in tandem with algorithms and hardware over a number of generations

      • 4.2.3 reflect the IPO data processing paradigm

    • 4.3 describe and demonstrate how programming languages are used in the coding stage of a Systems Development Life Cycle model by converting a representative set of algorithms into executable code

  • 5 explain the nature, evolution and basic architecture of a von Neumann computer system

    • 5.1 create a block diagram of a stereotypical von Neumann machine

    • 5.2 describe a number of typical devices associated with each block

    • 5.3 show the flow of data through the computer under the direction of a program

  • 6 demonstrate basic competencies

    • 6.1 demonstrate fundamental skills to:

      • 6.1.1 communicate

      • 6.1.2 manage information

      • 6.1.3 use numbers

      • 6.1.4 think and solve problems

    • 6.2 demonstrate personal management skills to:

      • 6.2.1 demonstrate positive attitudes and behaviours

      • 6.2.2 be responsible

      • 6.2.3 be adaptable

      • 6.2.4 learn continuously

      • 6.2.5 work safely

    • 6.3 demonstrate teamwork skills to:

      • 6.3.1 work with others

      • 6.3.2 participate in projects and tasks

  • 7 make personal connections to the cluster content and processes to inform possible pathway choices

    • 7.1 complete/update a personal inventory; e.g., interests, values, beliefs, resources, prior learning and experiences

    • 7.2 create a connection between a personal inventory and occupational choices

Program of Studies 2009. Source document, © Alberta Education.