PSYC 1560 09: General Psychology

PSYC 1560 - General Psychology

Fall 2026 Syllabus, Section 09, CRN 40107,

Credit hours: 3

Course Meeting Times

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Instructor

David Fruehstorfer

Email: dbfruehstorfer@ysu.edu

Public Instructor Information

Professional Qualifications:
Ph.D., Experimental (Health) Psychology, Kent State University (2010)
M.A., Experimental (Health) Psychology, Kent State University (2005)
M.Ed., Clinical Mental Health Counseling, Kent State University (1995)
B.A., Psychology, Kent State University (1989)

Senior Lecturer

Email: dbfruehstorfer@ysu.edu

Office: 3211 Beeghly Hall

Fall 2026 Office Hours:
Mon. & Wed.~ 10:30a-11:30a; Tues. & Thurs. ~ 11:00a-12:30p

Office Phone: 330.941.3276

please use your YSU email to contact me.

Preferred Contact Method: email

How to Refer to me:
he/him/professor/doctor

Private Instructor Information

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Course Description

1560. General Psychology. An examination of scientific and clinical approaches to understanding the relationships between one's physical, mental, and emotional well-being, and quality of life, including the basic principles governing the growth and maintenance of behavior, emotion, and cognition. 3 s.h.

Course Readings

Group Title Author ISBN
Required Essentials of Understanding Psychology (14th edition) – eBook with Connect access code. Feldman, R. 9781264840656

Feldman, R. (2021), Essentials of Understanding Psychology (14th edition) – eBook with Connect access code.  ISBN13: 9781264840656

McGraw-Hill Education Connect® access is required material for successfully completing this course. 
• This is a “First-Day Ready” Course; eBook and Connect access come with tuition.
• You must register for Connect within Blackboard.
• You may choose to add a loose-leaf copy of the text through McGraw Hill if you would like (this can be purchased anytime throughout the semester but is not required).
*See end of syllabus for additional assistance on registering for Connect

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Additional Course Materials

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Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Day Date Proposed Topic Due/To Prepare for Class
Wed 8/26 lmslms_1802743_1
Fri 8/28 lmslms_1802744_1
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Wed 9/2 lmslms_1802746_1
Fri 9/4 lmslms_1802747_1
Wed 9/9 lmslms_1802748_1
Fri 9/11 lmslms_1802749_1
Mon 9/14 lmslms_1802750_1
Fri 9/18 lmslms_1802754_1
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Wed 9/23 lmslms_1802756_1
Fri 9/25 lmslms_1802757_1
Wed 9/30 lmslms_1802758_1
Fri 10/2 lmslms_1802759_1
Wed 10/7 lmslms_1802760_1
Fri 10/9 lmslms_1802761_1
Mon 10/12 lmslms_1802865_1
Fri 10/16 lmslms_1802777_1
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Wed 10/21 lmslms_1802779_1
Fri 10/23 lmslms_1802780_1
Wed 10/28 lmslms_1802781_1
Fri 10/30 lmslms_1802782_1
Mon 11/2 lmslms_1802866_1
Fri 11/6 lmslms_1802783_1
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Fri 11/13 lmslms_1802785_1
Mon 11/16 lmslms_1802786_1
Fri 11/20 lmslms_1802787_1
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Mon 11/30 lmslms_1802789_1
Wed 12/2 lmslms_1802790_1
Fri 12/4 lmslms_1802791_1
Wed 12/9 lmslms_1802867_1

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning. 

Evaluation Methods

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