Adjunct-Instructor, Computer Science - Advanced Programming - Raritan Valley Community College

Raritan Valley Community College; Toms River (NJ); On-site; USD 30,000 - 60,000; Part time

Job summary

An established educational institution is seeking a passionate Adjunct instructor for the upcoming Spring semester. This role involves teaching a part-time course on Data Structures, focusing on essential concepts in Computer Science, including linked lists, stacks, and trees, all implemented in Java. The position offers a unique opportunity to engage with students in a dynamic learning environment while fostering their understanding of foundational programming principles. If you are eager to inspire the next generation of computer scientists and have a solid background in Java and data structures, this position is perfect for you.

Qualifications

• Experience teaching Data Structures and Algorithms in Computer Science.
• Strong knowledge of Java programming and its applications.

Responsibilities

• Teach Data Structures course on Tuesday and Thursday evenings.
• Guide students in understanding algorithms and data structure implementations.

Skills

Java

Data Structures

Algorithms

Education

Master's Degree in Computer Science

Bachelor's Degree in Computer Science

Job description

Location:

North Branch, NJ

Category:

Adjunct-Part Time - Math & Computer Science

Posted On:

Thu Sep 19 2024

Job Description:

Raritan Valley Community College has an anticipated opening for an Adjunct instructor to teach part-time in Computer Science for the upcoming Spring 2025 semester. The position involves teaching Data Structures on Tuesday and Thursday evenings from 5:30 to 7:50. The course covers fundamental data structures used in Computer Science, including linked lists, doubly linked lists, stacks, queues, trees, and graphs, all implemented in Java from scratch. The curriculum also discusses algorithms that manipulate these data structures and includes laboratory work, with an introduction to the run-time analysis of algorithms.