课程介绍

Author: LeonardoC37

content/courses/comp0026.md

@@ -67,9 +67,7 @@
 ## 资料下载
 
 ### 课程资料
-- [📖 课程讲义合集](https://github.com/user/ucl-cgvi-materials/blob/main/comp0026/lectures.pdf)
-- [💻 实验代码模板](https://github.com/user/ucl-cgvi-materials/blob/main/comp0026/lab_templates.zip)
-- [📊 项目数据集](https://github.com/user/ucl-cgvi-materials/blob/main/comp0026/datasets.zip)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0026)
 
 ### 参考书籍
 - Digital Image Processing (Gonzalez & Woods) - 经典教材

content/courses/comp0027.md

@@ -85,9 +85,7 @@
 ## 资料下载
 
 ### 课程资料
-- [📖 图形学数学基础](https://github.com/user/ucl-cgvi-materials/blob/main/comp0027/math_foundation.pdf)
-- [💻 CW代码框架](https://github.com/user/ucl-cgvi-materials/blob/main/comp0027/cw_templates.zip)
-- [🎮 渲染示例与测试场景](https://github.com/user/ucl-cgvi-materials/blob/main/comp0027/test_scenes.zip)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0027)
 
 ### 参考书籍
 - Real-Time Rendering (Akenine-Möller, Haines, Hoffman) - 实时渲染圣经
@@ -117,5 +115,5 @@
 
 ---
 
-*最后更新：2025年1月*  
+*最后更新：2025年7月*  
 *如有问题，欢迎联系作者：[email protected]*

content/courses/comp0113.md

@@ -6,7 +6,7 @@
 **学分**：15学分  
 **评分方式**：
 - 小组演示 (Presentation): 25%
-- 小组项目 (VR Project): 75%
+- 小组项目 (VR Project): 75%（不确定25fall是否会变化）
 
 ## 课程简介
 
@@ -89,9 +89,7 @@
 ## 资料下载
 
 ### 课程资料
-- [📖 VR理论基础](https://github.com/user/ucl-cgvi-materials/blob/main/comp0113/vr_theory.pdf)
-- [🛠️ Ubiq开发指南](https://github.com/user/ucl-cgvi-materials/blob/main/comp0113/ubiq_guide.pdf)
-- [🎮 示例VR项目](https://github.com/user/ucl-cgvi-materials/blob/main/comp0113/sample_projects.zip)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0113)
 
 ### 开发工具
 - [Ubiq Platform](https://ubiq.online/) - 课程指定开发平台
@@ -127,5 +125,5 @@
 
 ---
 
-*最后更新：2025年1月*  
+*最后更新：2025年7月*  
 *如有问题，欢迎联系作者：[email protected]*

content/courses/comp0114.md

@@ -82,17 +82,15 @@
 - 内容偏向传统方法，现代深度学习内容较少
 
 ### 给分特点
-- **评分保守**：很难获得90+的高分
+- **评分保守**：很难获得85+的高分
 - **重视理论**：数学推导和理论理解占重要比重
 - **标准严格**：即使评价"very good"也可能只有80分
 - **英式风格**：体现了英国学术评估的严谨性
 
 ## 资料下载
 
 ### 课程资料
-- [📖 逆问题数学理论](https://github.com/user/ucl-cgvi-materials/blob/main/comp0114/inverse_theory.pdf)
-- [💻 MATLAB实验代码](https://github.com/user/ucl-cgvi-materials/blob/main/comp0114/matlab_labs.zip)
-- [🏥 医学成像数据集](https://github.com/user/ucl-cgvi-materials/blob/main/comp0114/medical_data.zip)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0114)
 
 ### 参考书籍
 - Inverse Problem Theory (Tarantola) - 理论基础经典
@@ -131,5 +129,5 @@
 
 ---
 
-*最后更新：2025年1月*  
+*最后更新：2025年7月*  
 *如有问题，欢迎联系作者：[email protected]*

content/courses/comp0118.md

@@ -51,9 +51,8 @@
 ## 资料下载
 
 ### 课程资料
-- [📖 生物医学建模基础](https://github.com/user/ucl-cgvi-materials/blob/main/comp0118/biomedical_modeling.pdf)
-- [💻 建模代码示例](https://github.com/user/ucl-cgvi-materials/blob/main/comp0118/modeling_code.zip)
+暂无
 
 ---
 
-*最后更新：2025年1月*
+*最后更新：2025年7月*

content/courses/comp0119.md

@@ -93,9 +93,7 @@
 ## 资料下载
 
 ### 课程资料
-- [📖 3D几何处理理论](https://github.com/user/ucl-cgvi-materials/blob/main/comp0119/geometry_theory.pdf)
-- [💻 算法实现代码](https://github.com/user/ucl-cgvi-materials/blob/main/comp0119/algorithms.zip)
-- [🗿 3D模型数据集](https://github.com/user/ucl-cgvi-materials/blob/main/comp0119/3d_models.zip)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0119)
 
 ### 参考书籍
 - Polygon Mesh Processing (Botsch et al.) - 网格处理经典教材
@@ -143,5 +141,5 @@
 
 ---
 
-*最后更新：2025年1月*  
+*最后更新：2025年7月*  
 *如有问题，欢迎联系作者：[email protected]*

content/courses/comp0122.md

@@ -169,18 +169,32 @@
 - 充分讨论局限性和未来工作
 - 重视论文的逻辑结构和语言质量
 
+### 注意事项
+You are reminded that the project is an individual assignment and the work you submit should be substantially your own, as stated in the standard disclaimer that you are required to include on your project submission (see project formatting guidelines for a copy of the standard disclaimer)
+
+You should identify clearly in your report:
+
+Which work you have completed by yourself and represents your own individual contribution
+Which work you have completed in conjunction with other students with whom you have collaborated (such as fellow students from your degree programme)
+Which work you have incorporated from other sources, such as from previous years' students, from external sources (e.g. third party algorithms, methods, publications, source code or code libraries), or from Research Projects with which you have been allied with during your project work (e.g. those of your Supervisor or of external companies)
+Plagiarism is treated seriously by the Department of Computer Science. If you are unsure about the academic referencing conventions used by the Department you should seek guidance from your Module Leader or Personal Tutor.  
+
+Please also refer to the following page for a definition of what plagiarism is, and guidance on how to avoid it: https://www.ucl.ac.uk/students/exams-and-assessments/plagiarism 
+
+The following Examination Irregularities and Plagiarism regulations set out how UCL will investigate and penalise any conduct which is likely to affect the standards of the qualifications awarded: https://www.ucl.ac.uk/srs/academic-manual/c4/irregularities-plagiarism
+
+Last modified: Monday, 6 June 2022, 8:17 AM
+
 ## 资料下载
 
 ### 项目指南
-- [📖 毕设项目指南](https://github.com/user/ucl-cgvi-materials/blob/main/comp0122/project_guide.pdf)
-- [📝 论文模板](https://github.com/user/ucl-cgvi-materials/blob/main/comp0122/thesis_template.zip)
-- [👥 导师联系信息](https://github.com/user/ucl-cgvi-materials/blob/main/comp0122/supervisor_contacts.pdf)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0122)
 
 ### 参考资源
 - [UCL CS项目要求](https://www.ucl.ac.uk/computer-science/study/postgraduate-taught)
 - [学术写作指南](https://www.ucl.ac.uk/students/academic-development/academic-writing)
 
 ---
 
-*最后更新：2025年1月*  
+*最后更新：2025年7月*  
 *如有问题，欢迎联系作者：[email protected]*

content/courses/comp0137.md

@@ -69,9 +69,7 @@
 ## 资料下载
 
 ### 课程资料
-- [📖 课程讲义全集](https://github.com/user/ucl-cgvi-materials/blob/main/comp0137/lectures.pdf)
-- [💻 实验代码与数据](https://github.com/user/ucl-cgvi-materials/blob/main/comp0137/labs.zip)
-- [📝 历年考试样题](https://github.com/user/ucl-cgvi-materials/blob/main/comp0137/past_exams.pdf)
+[📖 课程资料合集](https://github.com/LeonardoC37/ucl-cgvi-website/tree/main/materials/COMP0137)
 
 ### 参考书籍
 - Computer Vision: A Modern Approach (Forsyth & Ponce)
@@ -100,5 +98,5 @@
 
 ---
 
-*最后更新：2025年1月*  
+*最后更新：2025年7月*  
 *如有问题，欢迎联系作者：[email protected]*

content/courses/comp0160.md

@@ -31,7 +31,7 @@
 ### 课程特点
 - **理论复杂**：涉及认知科学、心理物理学
 - **考试困难**：线下考试给分严苛，大部分30-40分
-- **争议较大**：24fall考试引发很多讨论
+- **争议较大**：24fall考试给分过低引发很多讨论
 
 ## 课程评价
 
@@ -42,4 +42,4 @@
 
 ---
 
-*最后更新：2025年1月*
+*最后更新：2025年7月*

content/courses/comp0161.md

@@ -30,4 +30,4 @@
 
 ---
 
-*最后更新：2025年1月*
+*最后更新：2025年7月*