Sadia Urdu teacher,ecnomic teacher,math
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Certainly! Here's a concise, 80-line description of teaching and assignment experience:

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**Teaching and Assignment Experience**

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**Courses Taught:**
1. **Introduction to Programming**:
- **Institution**: XYZ University
- **Duration**: 3 years
- **Level**: Undergraduate
- **Description**: Basics of programming, problem-solving, and algorithmic thinking using Python.

2. **Data Structures and Algorithms**:
- **Institution**: XYZ University
- **Duration**: 2 years
- **Level**: Undergraduate
- **Description**: Core concepts of data structures and algorithms with practical applications in Java.

3. **Web Development**:
- **Institution**: ABC Institute
- **Duration**: 1 year
- **Level**: Diploma
- **Description**: Front-end and back-end web development using HTML, CSS, JavaScript, and PHP.

4. **Database Management Systems**:
- **Institution**: XYZ University
- **Duration**: 1.5 years
- **Level**: Undergraduate
- **Description**: SQL, database design, normalization, and NoSQL databases.

5. **Machine Learning**:
- **Institution**: XYZ University
- **Duration**: 1 year
- **Level**: Graduate
- **Description**: Supervised and unsupervised learning, neural networks, and practical implementation using Python.

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**Assignments Developed:**
1. **Programming Assignments**:
- **Intro to Programming**: Weekly coding tasks involving basic algorithms and data manipulation.
- **Data Structures**: Projects involving implementation of linked lists, trees, graphs, and sorting algorithms.

2. **Web Development Projects**:
- **Front-End**: Design a responsive website using HTML, CSS, and JavaScript.
- **Back-End**: Develop a CRUD application with a user authentication system using PHP and MySQL.

3. **Database Management**:
- **Design Project**: Create an ER diagram for a given scenario and translate it into a relational schema.
- **SQL Tasks**: Write complex queries to retrieve and manipulate data from relational databases.

4. **Machine Learning Projects**:
- **Classification Task**: Implement a classification algorithm (e.g., logistic regression) to solve a binary classification problem.
- **Neural Networks**: Build and train a neural network model using TensorFlow or PyTorch.

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**Teaching Methodologies**:
1. **Interactive Lectures**:
- Encouraged student participation and questions.
- Utilized multimedia tools for engaging presentations.

2. **Hands-on Labs**:
- Conducted practical sessions in computer labs.
- Guided students through coding exercises and debugging.

3. **Group Projects**:
- Fostered collaborative learning through group assignments.
- Evaluated teamwork and individual contributions.

4. **Online Platforms**:
- Utilized LMS (Learning Management Systems) like Moodle and Blackboard for distributing materials and collecting assignments.
- Conducted online quizzes and assessments to gauge understanding.

5. **Office Hours and Mentorship**:
- Provided one-on-one assistance during office hours.
- Mentored students on career advice and academic progress.

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**Assessment Techniques**:
1. **Quizzes and Exams**:
- Regular quizzes to reinforce learning.
- Midterm and final exams to evaluate comprehensive understanding.

2. **Assignments and Projects**:
- Weekly assignments to ensure continuous learning.
- End-of-term projects to apply theoretical knowledge to practical problems.

3. **Peer Reviews**:
- Implemented peer review sessions to encourage critical thinking and feedback.

4. **Presentations**:
- Assigned presentation tasks to enhance communication skills.
- Evaluated clarity, content, and delivery.

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**Achievements**:
1. **Student Feedback**:
- Consistently received high ratings for teaching effectiveness and course organization.
- Positive feedback on practical and hands-on approach.

2. **Course Improvements**:
- Developed and revised curricula to keep up with industry standards.
- Integrated latest technologies and tools into coursework.

3. **Research Contributions**:
- Published papers on innovative teaching methods and curriculum design.
- Presented at educational conferences.

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This summary encapsulates a broad range of teaching and assignment experience across various computer science subjects, highlighting key methodologies, projects, and achievements.

Subjects

  • Urdu Expert

  • Urdu (Beginner)

  • Urdu & Islamiyat Expert

Experience

  • online work (May, 2010–May, 2010) at (Self-Employed Professional) Multan
    Hello i am a teacher. my work related is online

Education

  • B.A (May, 2010–May, 2012) from bzu multan

Fee details

    Rs3,500–4,000/hour (US$12.61–14.41/hour)

    300 word charges fee 3500rs

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