Difference: CSC210SylS2026 (8 vs. 9)

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META TOPICPARENT name="SyllabiSpring2026"

CSC 210: Database: 3 hours

Description

A course introducing the student to the principles and practices of data base management and database design. Topics will include relational database design, normalization, SQL queries, reports and other interfaces to database data, and documentation, as well as ethical and privacy issues associated with database systems. Prerequisite: CSC 102, CSC 121, ITSC 121, or permission of the instructor.

Goals for CSC 210 are:

  1. Learn to write complex sql statements
  2. Learn to being to design tables
  3. Learn about ethical and cyber security issues associated with databases

Course outcomes for CSC 210 are:

  • Upon completion of CSC 210, students will understand:
    • how to write complex SQL queries
    • how to design and implement quality databases
    • security issues associated with database technologies
    • ethical issues associated with database technologies
    • improved testing techniques

Program outcomes for CSC 210 are:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
  2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. (Computing student learning outcome 2)
  3. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
  4. Learn new areas of technology. (Computing student learning outcome 6)
  5. Use technology to help bring Christ to the world and apply Christian principles to their work. (Computing student learning outcome 7)
  6. Understand and use appropriate cloud technologies in specified areas (Computing student learning outcome 8)
  7. Apply computer science theory and software development fundamentals to produce computing-based solutions. (Computer Science student learning outcome 1)
  8. Support the delivery, use, and management of information systems within an information systems environment. (Computing and Information Systems student learning outcome 1)
  9. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

  1. Self-learning at the introductory level by having the students learn a few sql functions on their own but having them part of the assignments. This could include formatting associated with dates, string functions, and dealing with nulls.
  2. Note taking at the introductory level by requiring students take class notes and listen and record given guidelines (that may or may not be on slides) for sql and ER diagramming.
  3. Professionalism at the introductory level by
    • having students learn about the need for high quality work for table design
    • having students learn to respect the knowledge of the domain expert when designing tables.
    • not accepting any document/work that does not have a name on it
  4. Security at the introductory level by
    • having students learn about only storing the data needed and nothing more
    • having students learn about SQL injections.
    • having students learn how to secure data via views, constraints, and permissions, and the weaknesses of each.
  5. Ethics at the introductory level by discussing the responsibilities that come from having access to a lot of data.
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2/16: workday 2/18: SIGCSE 2/20: SIGCSE
Homework 3 due
2/23: privacy 2/25: workday 2/27: Exam 2
Lab 3 due
3/2
Spring break
3/4
Spring Break
3/6
Spring Break
Changed:
<
<
3/9 3/11 3/13
3/16 3/18 3/20
3/23 3/25 3/27
3/30 4/1 4/3
Easter
4/6 4/8 4/10
4/13 4/15 4/17
4/20 4/22 4/24
>
>
3/9: ER Diagrams 3/11: ER Diagrams
ER Homework 1 due
3/13: SQL Exam 3
3/16: ER Diagrams 3/18: ER Diagrams
ER Lab 1 due
3/20: Views and Constraints
3/23: Indexes
ER Homework 2 due
3/25: work day 3/27: Indexes
3/30: Work Day
ER Lab 2 due
4/1: Exam 4/3
Easter
4/6: Normalization 4/8: Normalization 4/10: Normalization
4/13: Transaction Processing 4/15: Transaction Processing 4/17: Transaction Processing
4/20: Advanced Databases 4/22: Advanced Databases 4/24: Exam
 
4/27: Finals week 4/29: Finals
10:30-12:30
4/31: Finals week
Deleted:
<
<

Last time's schedule

1/9 1/11: Introduction to Database and SQL
1/16: Single Table SQL 1/18: Work day
1/23: Single Table Aggregations and Joins 1/25: Joins
Homework 1 due
1/30: Joins 2/1: Joins and review
Lab 1 due
2/6: Nested queries 2/8: Exam 1
Homework 2 due (on Friday)
2/13: Nested queries and sets 2/15: Security
Lab 2 due
2/20: SQL Reports and class work
Homework 3 due
2/22: Privacy
Lab 3 due (on Friday)
2/27: SQL and current topic 2/29: Exam 2
3/5: Spring Break 3/7: Spring Break
3/12: ER Diagrams 3/14: ER Diagrams
Homework 4 due (on Wed.)
3/19: ER Diagrams and Constraints
Lab 4 due (on Mon.)
3/21:SIGCSE
3/26: Views
Homework 4 due (on Mon.) .
3/28:Easter Break
4/2: Normalization
Lab 5 due (on Mon.)
4/4: Exam 3
4/9: Normalization
Homework 6 due
4/11: Transaction processing
4/16: Transaction processing 4/18: Indexes and NoSQL
Homework 7 due
4/23: Exam 4 4/25: Review for final
4/30: Finals Week 5/2: Finals week
Final Exam 1:00-3:00
 

Campus Integrity Policy

The student handbook (p. 156) states: “Any act of deceit, falsehood or stealing by unethically copying or using someone else’s work in an academic situation is strictly prohibited.

  1. A student found guilty of plagiarism or cheating will receive an “F”(zero) for that particular paper, assignment or exam. Should this occur, the professor will have an interview with the student and will submit a written report of the incident to the academic dean.
  2. If a second offense should occur, the student will be asked to appear before the professor, the academic dean and the vice president for student development.

The student should realize that at this point continuation in a course and even his/her academic career may be in jeopardy. In the event of a recommendation for dismissal, the matter shall be referred to the Student Development Committee.”

AI Use Policy

It is expected that any coursework (including, but not limited to, essays, papers, exams, projects, and lab reports) submitted by a student will be a product of their own creation, demonstrating their achievement of the learning outcomes related to the assigned task. With this in mind, note that submitting work that includes unauthorized or undocumented use of Artificial Intelligence (AI) may be considered as cheating or plagiarism. If you are unsure about appropriate use of AI on a given assignment, talk with your professor.

Services

The Americans with Disabilities Act (ADA) is a law which provides civil rights protection for people with disabilities. Bethel University, in compliance with equal access laws, requests that students with disabilities seeking to acquire accommodations make an appointment with the Center for Academic Success—Disability Services. It is located in the Miller-Moore Academic Center, 033. You may also phone 574-807-7460 or email rachel.kennedy@betheluniversity.edu for an appointment.

Education Majors:

Please use the link below to review all appropriate standards. Standards
 
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