CSE 2124
Transcript Abbreviation:
Intermed Python
Course Description:
A second course in Python programming covering topics such as object-oriented programming, recursive programming, searching and sorting, and basic data structures such as linked lists.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Required
General Education Course
(N/A)
Cross-Listings:
None
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Sometimes
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Pre-req: 1224
Electronically Enforced:
Yes
Exclusions:
None
Course Goals / Objectives:
Be competent with the core principles of object-oriented programming
Be competent with the creation of classes and instantiating objects in Python
Be competent with creating object-oriented solutions that use class inheritance to create subclasses
Be competent with implementing simple data structures to store and manage a collection of values
Be competent with simple file I/O in Python
Be familiar with advanced object-oriented techniques, such as abstract classes and interfaces
Be familiar with simple search and sort algorithms and explain differences in their time complexities
Be familiar with selecting an algorithm from a range of possible options and implementing it in a particular context
Be familiar with recursive programming techniques
Be exposed to using Python data and visualization libraries
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Python review | 2 | 0 | 0 | 1 |
| Recursion | 2 | 0 | 0 | 1 |
| File I/O | 2 | 0 | 0 | 1 |
| Objects and Classes | 8 | 0 | 0 | 4 |
| Introduction to Algorithms | 1 | 0 | 0 | 1 |
| Searching & Sorting | 3 | 0 | 0 | 2 |
| Lists, Stacks & Queues | 3 | 0 | 0 | 2 |
| Python Data Libraries | 3 | 0 | 1 | 1 |
| Midterm | 1 | 0 | 0 | 0 |
| Total | 25 | 0 | 1 | 13 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Lab
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Programming Assignments (6-7) | 35% |
| Homework Assignments | 10% |
| Midterm | 20% |
| Final Exam | 35% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Programming Python 3 with zyLabs | zyBooks | 2024 |
ABET-CAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Some contribution (1-2 hours) | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| 2 | Substantial contribution (3-6 hours) | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
| 4 | Some contribution (1-2 hours) | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
| 6 | Significant contribution (7+ hours) | Apply computer science theory and software development fundamentals to produce computing-based solutions. |
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Some contribution (1-2 hours) | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| 2 | Substantial contribution (3-6 hours) | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| 4 | Some contribution (1-2 hours) | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| 7 | Some contribution (1-2 hours) | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)