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Flexible Schedule Computer Science Student Jobs in Washington

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Flexible Schedule Computer Science Student information

What are the key skills and qualifications needed to thrive as a flexible schedule computer science student?

To thrive as a Flexible Schedule Computer Science Student, you need a solid understanding of programming concepts, data structures, and algorithms, often supported by enrollment in a computer science degree program. Familiarity with coding languages like Python or Java, version control systems such as Git, and online learning platforms is highly beneficial. Strong time management, self-motivation, and effective communication skills help you balance coursework with other commitments. These skills ensure you can keep up with academic requirements, collaborate on projects, and succeed in a flexible, often self-directed learning environment.

What is a flexible schedule computer science student?

A Flexible Schedule Computer Science Student is someone pursuing a computer science degree or coursework who is able to adapt their study hours around other commitments, such as part-time work, internships, or personal responsibilities. This flexibility is often achieved through online classes, asynchronous lectures, or hybrid learning environments. It allows students to balance their education with other priorities while gaining valuable technical skills. Many universities and colleges now offer flexible learning options to accommodate different student needs. This approach is especially beneficial for those who need to work or manage family obligations while advancing their education.

How can a flexible schedule computer science student effectively balance coursework, part-time work, and collaborative projects?

Balancing multiple responsibilities as a Flexible Schedule Computer Science Student often requires strong time management and communication skills. Many students find it helpful to use digital calendars or task management tools to organize assignments and work shifts. Since collaborative projects are common in computer science, being proactive in scheduling meetings and openly communicating availability with teammates is crucial. Additionally, discussing flexibility options with professors and employers can help accommodate peak academic periods or project deadlines, ensuring consistent progress across all commitments.

What is the difference between Flexible Schedule Computer Science Student vs Part-Time Software Developer?

AspectFlexible Schedule Computer Science StudentPart-Time Software Developer
CredentialsEnrolled in a computer science program or related fieldProven coding skills, possibly certifications or portfolio
Work EnvironmentRemote or on-campus, flexible hoursRemote or office-based, project deadlines
Employer & Industry UsageEducational institutions, internships, freelance projectsTech companies, startups, freelance clients

The main difference is that a Flexible Schedule Computer Science Student is primarily focused on learning and gaining experience while studying, often working on personal or academic projects. In contrast, a Part-Time Software Developer actively contributes to real-world projects, often with more structured work hours and deliverables. Both roles may involve remote work and require coding skills, but their primary goals and commitments differ.

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What cities in Washington are hiring for Flexible Schedule Computer Science Student jobs? Cities in Washington with the most Flexible Schedule Computer Science Student job openings:

Full-time, Part-time

Re-posted 22 days ago


Job description

Part-Time Faculty- Computer Science

Apply now Job no: 492424
Work type: Part-Time Faculty
Location: Arnold/Main Campus
Categories: Part-Time Faculty

Title: Part-Time Faculty- Computer Science

Department: Computer Science

Campus Location: Arnold/Main Campus

Work Mode: This position requires regular in-person presence on campus and at alternative locations, depending on class schedule and other assigned duties.

Work Schedule: flexible hours

Position Type: Part-Time Faculty

Position Summary

The School of Science, Technology, and Education is looking for part-time faculty who are able to teach courses in the Computer Science Department. Candidate must be able to teach in a face-to-face as well as online capacity.
Anne Arundel Community College (AACC) is committed to enriching the educational experience it offers through the diversity of its faculty, administrators, and staff members. The college seeks to recruit and support a broadly diverse team who will contribute to the college's excellence, diversity of viewpoints and experiences, embrace concepts of equity and inclusiveness, and support the equal rights of all people by advancing the understanding and appreciation of differences including age, race, gender, ability, religious convictions, socio-economic status, ethnic heritage, or sexual orientation.
While we appreciate your interest in employment with Anne Arundel Community College, applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for any position.
In the best interest of the College, only individuals who are residents of Maryland or one of the following states will be eligible for employment at the college: Delaware, Pennsylvania, Virginia, West Virginia or the District of Columbia. The college will annually review this restriction and, if appropriate, expand the list of states of employment eligibility.

Job Duties and Responsibilities

Responsibilities include: assessing student progress in meeting the learning objectives through formal and informal assessment, meeting required deadlines for submitting grades, attendance, and other information, as requested, and adhering to safety procedures and departmental standards.

Required Qualifications:

A master's degree in Computer Science and documented teaching experience is necessary.
Seeking adjunct faculty with strong technical backgrounds in one or more of the following fields:
- Programming and Software Development - sample technologies: Object-oriented analysis and design, Java, C++, Data Structures, JavaScript, Agile, DevOps, etc.
- Full stack development - MongoDB, ReactJS, Node.js, MySQL, Git, etc.
- Database Development - Oracle, SQL Server, PostgreSQL, etc.
- Business Intelligence and Data Science - Python, R, Cognos, Tableau, SAS, ETL tools, etc.
- Cognitive Computing - Watson, OpenAI/GPT, etc.
- Emerging Technologies - Blockchain & General Ledger, Quantum Computing, etc.
Applicants should have:
- Industry experience
- Strong communication skills.
- Master's degree required.
- Certifications, special skills, online teaching or technical proficiency.

Preferred Qualifications:

Advertised: 08 Dec 2022 Eastern Standard Time
Applications close:

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