CCOG for CIS 122 archive revision 201704
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- Effective Term:
- Fall 2017 through Summer 2018
- Course Number:
- CIS 122
- Course Title:
- Introduction to Programming Logic
- Credit Hours:
- 4
- Lecture Hours:
- 30
- Lecture/Lab Hours:
- 0
- Lab Hours:
- 30
Course Description
Intended Outcomes for the course
Upon completion of this course students should be able to:
- Translate simple real-world problems into programming algorithms applying a design methodology.
- Translate programming algorithms into a physical programming language that meets user requirements, and validate input.
- Communicate algorithmic solutions to other programmers using a common design methodology.
- 欧洲杯决赛竞猜app_欧洲杯足球网-投注|官网 and use a test plan for determining the correctness of a program.
- Identify and fix defects and common security issues in code.
Quantitative Reasoning
Students completing an associate degree at Portland Community College will be able to analyze questions or problems that impact the community and/or environment using quantitative information.
Course Activities and Design
This course is presented with a combination of lectures and labs.
Students will be expected to complete assignments which include design, programming, and testing.
Outcome Assessment Strategies
Students will complete the following assessments:
- Translate real-world problems to program designs
- Write algorithms that illustrate typical programming applications (some typical application examples follow):
- Counters & Accumulators
- Minimum & Maximum
- Common business/math/science problems
- Produce a design document in a standard format
- 欧洲杯决赛竞猜app_欧洲杯足球网-投注|官网 test plan to prove solutions
Course Content (Themes, Concepts, Issues and Skills)
Outcome: Translate simple real-world problems into programming algorithms applying a design methodology.
Content that supports the outcome:
- Eliciting requirements
- Logic Constructs
- Sequence
- Selection/Alternation/If-Then-Else
- Repetition/Iteration/Looping
- Standard algorithms such as:
- Counters
- Accumulators
- Minimum / Maximum
- Design tools, such as:
- Pseudocode
- Flowcharts
- Modularity
- Cohesion
- Coupling
- Code reuse
Outcome: Translate standard programming algorithms into a physical programming language that meets user requirements.
Content that supports the outcome:
- Variables
- Declaration
- Assignment
- Data types
- Scoping
- Boolean and arithmetic expressions
- Functions
- Parameters
- Return values
- Input Validation
- Additional Programming Topics as required for programming assignments
Outcome: Communicate algorithmic solutions to other programmers using a standard design methodology.
Content that supports the outcome:
- Employing Standards for:
- Naming
- Indentation
- Design
- Code
- Design tools, such as:
- Pseudocode
- Flowcharts
Outcome: Test a solution to a problem both before and after coding a physical solution.
Content that supports the outcome:
- Interpreting pseudocode
- Program testing and debugging
Overall themes for the course:
- Software 欧洲杯决赛竞猜app_欧洲杯足球网-投注|官网ment Life Cycle
- Creating software solutions from problem specifications
- Best practices
- Logical vs. physical solution
Related Instruction
Computation
Hours: 16- Translate simple real-world problems into programming algorithms applying a design methodology.
- Translate programming algorithms into a physical programming language that meets user requirements, and validate input.
Direct instruction (+ study time) in discipline-related computations involving:
- Boolean algebra and arithmetic expression construction
- Evaluation as applied in a specific programming language's type system.