AY Teaching Associate; TA - Information Systems and Decision Sciences Job Fresno area,California USA,Education / Teaching

Position: 26-27 AY Teaching Associate (TA) - Information Systems and Decision Sciences

Teaching Associate (TA) for the Department of Information Systems and Decision Sciences

The Department of Information Systems and Decision Sciences seeks graduate students as Teaching Associate applicants. Teaching Associates typically are responsible for providing classroom instruction. Eligibility is determined by TA eligibility, department eligibility, and adequate funding.

Anticipated Appointment Dates

Fall 2026:
August 19, 2026 – December 22, 2026
Spring 2027:
January 15, 2027 – May 26, 2027

Hours/Units per week

1-unit is equivalent to 2.66 hours per week (40hrs x1-unit/15-unit)
The typical range for labs is between 1.3–5.2 units (dependent on courses and number of sections assigned)
The typical range for lectures is between 3–6 units (dependent on courses and number of sections assigned)
No more than 7.5 units

Job Duties

Instruct and manage the lab component of the course IS52 Computer Concepts
Exhibit proficiency in the instructional software used in the laboratory
Exhibit proficiency in Microsoft Office Suite, particularly Excel and Access
Preparing course material as assigned by the IS52 Course Coordinator
Maintain regular communication with students regarding weekly assignments, homework projects, and exams, and deadlines using Canvas announcements, email, and in-class announcements.
Assess student performance, including giving course grades
Assist students outside of class during office hours and by appointment
Attend TA orientation at the beginning of the semester
Maintain office hours
Evaluate student work
Administering and proctoring exams
Maintain ongoing communication with the IS52 Course Coordinator
Other duties as assigned

Qualifications

Admission to the MBA or EMBA Program in the Craig School of Business, in good academic standing.
Enrollment in at least 6 units for the semester or in two courses toward the degree.
Demonstrated, satisfactory progress towards the degree.
Ability to relate well with others within the academic environment and have the ability or potential to learn how to instruct and evaluate students.
Demonstrated commitment to working effectively with faculty, staff and students from diverse ethnic, cultural and socioeconomic backgrounds.
Communication skills appropriate to the instructional setting.
Proficiency in the use of the Internet and other software applications, specifically email, file transfer, and Microsoft Office Suite – Word, PowerPoint, Excel, and Access.

Preferred Qualifications

Undergraduate degree in Computer Information Systems and Technology, Data Analytics, or equivalent.

Application Procedures

Current unofficial transcripts from your undergraduate and graduate education. If you have attended more than one institution, please combine these transcripts into one document. To submit your unofficial transcripts, use the institutional transcript system or contact your registrar.

Curriculum Vitae or résumé, including contact information, employment and educational history, skills such as computer programming, familiarity with commonly used computer programs, internships, awards, volunteer service, training, and a list of three references.

List of three references:
Provide first name, last name, type of reference, organization, position title, phone number, and e‑mail address for each referent.

Provide your reference letters as requested by the committee.

Education Code 89521 Requirements

Applicants will be required to disclose whether they have received a final administrative decision or final judicial decision determining that they have committed sexual harassment within the last 7 years only after a determination is made that they meet the minimum qualifications for the position, and before an offer of employment is extended. Applicants who reach the final stages of the application process must also sign a release form that authorizes the release of information by the applicant’s current and/or former employers to the CSU concerning any substantiated allegations of misconduct.

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