BIO314 Neuroanatomy
BIO314 Neuroanatomy
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Genetics and Bioengineering
Course Objectives
To introduce students the elements of the anatomy of the brain and its organization besides to contemporary issues relevant to brain
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Neuroscience: Exploring the brain. Bear, Connors and Paradiso, 3rd ed. (Ch. 1, 2, 7) and Lecture notes Biopsychology (Pinel) (recommended) web based study guides: Quizzes: http://library.med.utah.edu/kw/animations/hyperbrain/pathways/ Anatomy: http://www.med.harvard.edu/AANLIB/home.html http://nba.uth.tmc.edu/neuroscience/toc.htm http://www.neuroanatomy.ca/quizzes/weekly_quiz_index.html?id=1 http://www.columbia.edu/itc/hs/medical/neuroanatomy
Additional Literature
Teaching Methods
Lecturing
Student centered learning
Presentation
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction and Course Overview | Lecture notes/Chapter 1 (Bear) |
| 2 | Neurons and glia | Chapter 2 (Bear) |
| 3 | Classification of neurons | Chapter 2 (Bear) / lecture notes |
| 4 | Basic neuroanatomical terms and concepts | Lecture notes/Chapter 3 :51-54. 59-73 (Pinel) |
| 5 | Gross Anatomy of the Brain: The central nervous system | Lecture notes + Chapter 7 (Bear) |
| 6 | Gross Anatomy of the Brain: The peripheral nervous system | Lecture notes + Chapter 7 (Bear) |
| 7 | Surface anatomy of the brain: Lateral, medial and inferior surface | Chapter 7 (Bear) http://www.columbia.edu/itc/hs/medical/neuroanatomy/ |
| 8 | Cross sectional anatomy of the brain | Chapter 7(Bear) / Lecture notes |
| 9 | The cortex | Lecture notes |
| 10 | Limbic system | Lecture notes |
| 11 | Basal Ganglia | Lecture notes |
| 12 | Hippocampus | Lecture notes |
| 13 | Cerebellum | Lecture notes |
| 14 | Review | |
| 15 | Review |
Course Schedule (All Sections)
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes :
Mid term
AI: Not AllowedAlignment with Learning Outcomes :
Presentation
AI: Not AllowedAlignment with Learning Outcomes :
Participation
AI: Not AllowedAlignment with Learning Outcomes :
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture Hours
45 hours ⏳ (15 week × 3 h)
Assignments
30 hours ⏳ (2 week × 15 h)
Home study
40 hours ⏳ (10 week × 4 h)
In term exam study
15 hours ⏳ (1 week × 15 h)
Final exam study
20 hours ⏳ (2 week × 10 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [BIO314] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| BIO314 | Neuroanatomy | 3 | 0 | 6 | Tue 15:00-15:50; Thu 12:00-13:50 | |||||
| Prerequisite | Junior Standing | It is a prerequisite to | - | |||||||
| Lecturer | Office Hours / Room / Phone | Currently not available |
||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | To introduce students the elements of the anatomy of the brain and its organization besides to contemporary issues relevant to brain | |||||||||
| Textbook | Neuroscience: Exploring the brain. Bear, Connors and Paradiso, 3rd ed. (Ch. 1, 2, 7) and Lecture notes Biopsychology (Pinel) (recommended) web based study guides: Quizzes: http://library.med.utah.edu/kw/animations/hyperbrain/pathways/ Anatomy: http://www.med.harvard.edu/AANLIB/home.html http://nba.uth.tmc.edu/neuroscience/toc.htm http://www.neuroanatomy.ca/quizzes/weekly_quiz_index.html?id=1 http://www.columbia.edu/itc/hs/medical/neuroanatomy | |||||||||
| Additional Literature | ||||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
| Teaching Methods | lecturing, student centered learning, presentation | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction and Course Overview | Lecture notes/Chapter 1 (Bear) | ||||||||
| Week 2 | Neurons and glia | Chapter 2 (Bear) | ||||||||
| Week 3 | Classification of neurons | Chapter 2 (Bear) / lecture notes | ||||||||
| Week 4 | Basic neuroanatomical terms and concepts | Lecture notes/Chapter 3 :51-54. 59-73 (Pinel) | ||||||||
| Week 5 | Gross Anatomy of the Brain: The central nervous system | Lecture notes + Chapter 7 (Bear) | ||||||||
| Week 6 | Gross Anatomy of the Brain: The peripheral nervous system | Lecture notes + Chapter 7 (Bear) | ||||||||
| Week 7 | Surface anatomy of the brain: Lateral, medial and inferior surface | Chapter 7 (Bear) http://www.columbia.edu/itc/hs/medical/neuroanatomy/ | ||||||||
| Week 8 | Cross sectional anatomy of the brain | Chapter 7(Bear) / Lecture notes | ||||||||
| Week 9 | The cortex | Lecture notes | ||||||||
| Week 10 | Limbic system | Lecture notes | ||||||||
| Week 11 | Basal Ganglia | Lecture notes | ||||||||
| Week 12 | Hippocampus | Lecture notes | ||||||||
| Week 13 | Cerebellum | Lecture notes | ||||||||
| Week 14 | Review | |||||||||
| Week 15 | Review | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | Not Allowed | ||
| Semester Evaluation Components | |||||
| Mid term | 30 | Not Allowed | |||
| Presentation | 20 | Not Allowed | |||
| Participation | 10 | Not Allowed | |||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Assignments | 15 | 2 | 30 | |||
| Home study | 4 | 10 | 40 | In term exam study | 15 | 1 | 15 | |||
| Final exam study | 10 | 2 | 20 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||