Laboratories

LABORATORIES

🖥 Laboratories

Department of Computer Science & Engineering

Horizon College of Engineering


1. Computer Programming Lab

  • Objective: To provide hands-on experience in programming using various languages (C, C++, Python, Java).
  • Key Skills Learned:
    • Writing and debugging programs.
    • Implementing algorithms and data structures.
    • Basic understanding of syntax, control structures, and functions.
  • Software/Tools:
    • C, C++, Python, Java IDEs (e.g., Code::Blocks, Eclipse, PyCharm).

2. Database Management System (DBMS) Lab

  • Objective: To provide practical knowledge of database design, SQL queries, and database management.
  • Key Skills Learned:
    • Designing relational databases.
    • Writing SQL queries for data manipulation.
    • Understanding normalization and schema design.
  • Software/Tools:
    • MySQL, PostgreSQL, Oracle DBMS.

3. Data Structures Lab

  • Objective: To provide hands-on experience with various data structures like arrays, linked lists, stacks, queues, trees, and graphs.
  • Key Skills Learned:
    • Implementing and manipulating data structures.
    • Solving real-life problems using appropriate data structures.
    • Algorithm implementation for sorting and searching.
  • Software/Tools:
    • C, C++, Java (for implementing data structures).

4. Operating Systems Lab

  • Objective: To understand the inner workings of an operating system by working with concepts like process management, memory management, and file systems.
  • Key Skills Learned:
    • Process scheduling algorithms.
    • Memory allocation techniques.
    • Implementing system calls and basic OS functions.
  • Software/Tools:
    • Linux/Unix OS, C, Shell scripting.

5. Computer Networks Lab

  • Objective: To study and simulate various networking protocols and to understand data transmission.
  • Key Skills Learned:
    • Implementing and analyzing networking protocols like TCP/IP, UDP, and HTTP.
    • Understanding data flow and packet switching.
    • Configuring network devices and using tools like Wireshark.
  • Software/Tools:
    • Cisco Packet Tracer, Wireshark, NS2/NS3 simulators.

6. Software Engineering Lab

  • Objective: To implement software engineering practices such as design patterns, software testing, and lifecycle management.
  • Key Skills Learned:
    • Developing software applications using industry practices.
    • Working with version control systems.
    • Software documentation, testing, and debugging.
  • Software/Tools:
    • Git, Jira, Selenium, UML tools (e.g., Lucidchart, StarUML).

7. Artificial Intelligence Lab

  • Objective: To implement and experiment with AI algorithms and techniques for problem-solving and decision-making.
  • Key Skills Learned:
    • Implementing search algorithms (A*, DFS, BFS).
    • Developing expert systems, machine learning models.
    • Working with neural networks and AI optimization techniques.
  • Software/Tools:
    • Python (with libraries like TensorFlow, Keras, Scikit-learn).

8. Web Technologies Lab

  • Objective: To provide hands-on experience in creating dynamic websites using front-end and back-end technologies.
  • Key Skills Learned:
    • Developing websites with HTML, CSS, JavaScript.
    • Server-side scripting using PHP, Node.js.
    • Database integration for dynamic content.
  • Software/Tools:
    • Visual Studio Code, XAMPP, Apache, MySQL.

9. Machine Learning Lab

  • Objective: To implement machine learning algorithms and frameworks for solving real-world problems.
  • Key Skills Learned:
    • Working with supervised and unsupervised learning techniques.
    • Implementing regression, classification, and clustering algorithms.
    • Hands-on experience with libraries like TensorFlow and PyTorch.
  • Software/Tools:
    • Python (Scikit-learn, TensorFlow, Keras, PyTorch).

10. Cloud Computing Lab

  • Objective: To provide students with hands-on experience in cloud services and architecture.
  • Key Skills Learned:
    • Setting up and configuring cloud platforms like AWS, Azure, Google Cloud.
    • Developing cloud-based applications.
    • Working with containerization and orchestration (e.g., Docker, Kubernetes).
  • Software/Tools:
    • Amazon Web Services (AWS), Microsoft Azure, Docker, Kubernetes.

11. Cybersecurity Lab

  • Objective: To understand the fundamentals of cybersecurity and ethical hacking techniques.
  • Key Skills Learned:
    • Implementing encryption algorithms and network security protocols.
    • Performing vulnerability assessments and penetration testing.
    • Understanding ethical hacking practices and risk analysis.
  • Software/Tools:
    • Kali Linux, Metasploit, Wireshark, Burp Suite.

12. Mobile Computing Lab

  • Objective: To gain practical experience in developing mobile applications for Android and iOS platforms.
  • Key Skills Learned:
    • Designing and implementing mobile apps.
    • Understanding mobile networking and storage concepts.
    • Working with mobile development frameworks like Android Studio.
  • Software/Tools:
    • Android Studio, Xcode, Firebase.

13. IoT (Internet of Things) Lab

  • Objective: To provide hands-on experience in creating IoT applications and systems using sensors, actuators, and microcontrollers.
  • Key Skills Learned:
    • Developing IoT-based applications using Raspberry Pi and Arduino.
    • Implementing communication protocols for IoT.
    • Data collection and cloud integration in IoT systems.
  • Software/Tools:
    • Arduino IDE, Raspberry Pi, Node-RED, MQTT, Blynk.
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