ECTS - Innovative Visual Narrative
Innovative Visual Narrative (ART285) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Innovative Visual Narrative | ART285 | Fall and Spring | 3 | 0 | 0 | 3 | 4 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion. |
| Course Lecturer(s) |
|
| Course Objectives | This course aims at providing an innovative approach to the utilization of visuals and visual storytelling in design, cognition, personal expression, communication and interaction. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Investigation of the visual narration processes through selected examples;preperation of a research report in line with the selected type of visual narration; information about the effectiveness of the visual material or visual narrative on thinking,decision making and personal communication;evaluation;effects of innovative approaches on visual |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Definition of the Visual Narrative and Innovation: The objective, types, methods of production and the growing need for a more innovative approach for the visual narration of ideas | |
| 2 | Definition of Image: Types, examples, and methods The Innovative Artist: Definition and the ways of adopting an innovative approach to artwork | |
| 3 | Still Image / Created images: Manual and/or digital creation of images and/or objects by the utilization of one or a number of the following methods: drawing, painting, grouping, fixing, shaping, constructing, molding and etc. | |
| 4 | Still Image / Captured images: Analogue and/or digital recording of images through photography, modelling, grouping, processing and etc. | |
| 5 | Moving Image / Creation of Motion: Manual and/or digital creation of motion through frame by frame recording of images | |
| 6 | Moving Image / Recording Motion: Analogue and/or digital recording of live action and characters in motion | |
| 7 | Midterm Examination | |
| 8 | Components of the Visual Narrative: Point of View and Composition | |
| 9 | Components of the Visual Narrative: Light, Color and Texture | |
| 10 | Components of the Visual Narrative: Sound | |
| 11 | Personal Research Project: Proposal of the Objective and the Content | |
| 12 | Personal Project: Research and Data Collection | |
| 13 | Personal Project: 1st Review | |
| 14 | Personal Project: Revision of the Report | |
| 15 | Personal Project: Submission of the Report | |
| 16 | Final exam |
Sources
| Other Sources | 1. Block, B. (2007). The Visual Story: Creating the Visual Structure of Film, TV and Digital Media. Oxford. Focal Press Publishing. |
|---|---|
| 2. Caplin, S., Banks, A. ve Holmes, N. (2003). The Complete Guide to Digital Illustration. East Sussex: Ilex Press | |
| 3. Ching, F. D. K. (1989). Drawing: A Creative Process. Wiley Publishing | |
| 4. Dahaner, S. (2004). The Complete Guide to Digital 3D Design. East Sussex: Ilex Press. | |
| 5. Selby, A. (2009). Animation in Process. Laurence King Publishing. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 15 | 10 |
| Laboratory | - | - |
| Application | 7 | 10 |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 1 | 25 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 25 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 25 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. | |||||
| 2 | Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. | |||||
| 3 | Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. | |||||
| 4 | Acquires analytical thinking and uses time effectively in the process of deduction. | |||||
| 5 | Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. | |||||
| 6 | Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. | |||||
| 7 | Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. | |||||
| 8 | Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. | |||||
| 9 | Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. | |||||
| 10 | Has the ability to communicate ideas with peers supported by qualitative and quantitative data. | |||||
| 11 | Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | 7 | 2 | 14 |
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 8 | 1 | 8 |
| Presentation/Seminar Prepration | 1 | 14 | 14 |
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | 1 | 16 | 16 |
| Total Workload | 100 | ||