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B-TECH in Robotics And Automation at Koneru Lakshmaiah Education Foundation (Deemed to be University)
Guntur, Andhra Pradesh
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About the Specialization
What is Robotics and Automation at Koneru Lakshmaiah Education Foundation (Deemed to be University) Guntur?
This Robotics and Automation program at K L Deemed to be University focuses on equipping students with expertise in designing, developing, and deploying intelligent autonomous systems. The curriculum integrates core engineering disciplines with cutting-edge technologies like AI, IoT, and machine learning, directly addressing the growing demand for automation specialists in India''''s manufacturing, healthcare, and logistics sectors. It emphasizes practical application and interdisciplinary problem-solving to meet industry challenges.
Who Should Apply?
This program is ideal for fresh graduates passionate about cutting-edge technology and problem-solving in dynamic environments, seeking entry into high-growth robotics and automation roles. It also suits working professionals looking to upskill in industrial automation or career changers transitioning into the rapidly evolving automation industry. Specific prerequisite backgrounds typically include a strong foundation in Physics, Chemistry, and Mathematics from 10+2.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as Robotics Engineers, Automation Specialists, AI/ML Engineers for Robotics, or IIoT Developers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning upwards of INR 10-25 LPA in leading Indian and multinational companies. The program prepares students for advanced certifications in robotics programming, industrial automation, and AI, fostering significant growth trajectories.
Student Success Practices
Foundation Stage
Master Programming & Problem-Solving- (Semester 1-2)
Dedicate consistent time to practice C and Python programming fundamentals through daily coding challenges and competitive programming. Focus on understanding data structures and algorithms thoroughly, as these form the bedrock for advanced robotics logic.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online Python tutorials
Career Connection
Strong programming skills are non-negotiable for robotics. This practice directly translates to excelling in technical interviews, developing efficient robot control programs, and building robust automation scripts for future roles.
Build a Strong Engineering Science Core- (Semester 1-2)
Pay close attention to Engineering Physics, Mathematics, and Basic Electrical/Electronics Engineering. Actively participate in labs to gain hands-on experience with circuits, sensors, and basic mechanical components. Form study groups to clarify complex concepts.
Tools & Resources
Textbooks, Lab manuals, Khan Academy, NPTEL videos
Career Connection
A solid grasp of core engineering principles is crucial for designing and troubleshooting robotic systems. This foundation allows for a deeper understanding of robot mechanics, sensor integration, and control system design, making you a versatile engineer.
Engage in Early Project-Based Learning- (Semester 1-2)
Start with small, personal projects using development boards like Arduino or Raspberry Pi. Build simple robots, control LEDs, or integrate basic sensors. Document your learning process and project outcomes clearly.
Tools & Resources
Arduino Starter Kits, Raspberry Pi, instructables.com, YouTube tutorials
Career Connection
Early practical experience helps solidify theoretical knowledge and develops crucial problem-solving skills. These projects become valuable additions to your resume and portfolio, showcasing initiative and practical aptitude to potential employers.
Intermediate Stage
Deep Dive into Robotics Software Frameworks- (Semester 3-5)
Familiarize yourself with Robot Operating System (ROS) and gain hands-on experience with its tools and libraries. Understand topics like kinematics, path planning, and perception through practical ROS-based projects and tutorials.
Tools & Resources
ROS tutorials, Gazebo simulator, TurtleBot kits, The Construct (ROS learning platform)
Career Connection
ROS is the de-facto standard in robotics research and development. Proficiency in ROS is highly sought after by robotics companies in India, opening doors to roles in robot programming, simulation, and software development.
Seek Industry Exposure through Internships/Workshops- (Semester 3-5)
Actively look for summer internships or participate in workshops offered by companies specializing in robotics, automation, or manufacturing. These opportunities provide real-world insights into industrial practices and professional networking.
Tools & Resources
KLU Placement Cell, Internshala, LinkedIn, Industry-specific career fairs
Career Connection
Internships offer invaluable practical experience, bridge the gap between academia and industry, and often lead to pre-placement offers. They help you understand industry demands and build a professional network in the Indian robotics ecosystem.
Participate in Robotics Competitions- (Semester 3-5)
Join university robotics clubs and participate in national-level robotics competitions (e.g., Robocon, IIT Techfest events). These challenges foster teamwork, innovative problem-solving, and practical robot design and implementation skills.
Tools & Resources
Robotics clubs, Competition guidelines, CAD software (SolidWorks, Fusion 360)
Career Connection
Competition experience demonstrates your ability to apply knowledge under pressure, work in teams, and deliver functional robotic solutions. It''''s a significant resume booster and a great way to meet like-minded individuals and industry mentors.
Advanced Stage
Specialize in a Robotics Niche & Advanced AI- (Semester 6-8)
Choose professional electives wisely to specialize in areas like autonomous navigation, industrial IoT, or advanced control systems. Deepen your understanding of AI/ML algorithms, especially for perception, decision-making, and robot learning.
Tools & Resources
Coursera/edX courses (Deep Learning, Reinforcement Learning), TensorFlow/PyTorch, Research papers
Career Connection
Specialization makes you a valuable asset in niche segments of the robotics industry. Expertise in advanced AI for robotics positions you for roles in R&D, intelligent automation, and autonomous systems development within leading Indian tech firms and startups.
Undertake a Comprehensive Capstone Project- (Semester 7-8)
Focus on developing a significant, real-world robotics project during your final year. Aim for a project that solves an industry problem or contributes to existing research, demonstrating strong design, implementation, and testing capabilities. Publish if possible.
Tools & Resources
University research labs, Industry mentors, Project management tools, Simulation software
Career Connection
A strong capstone project is your ultimate portfolio piece, showcasing your complete engineering skillset. It directly influences placement opportunities and can lead to entrepreneurship or further academic pursuits, distinguishing you in the Indian job market.
Network and Prepare for Placements- (Semester 7-8)
Actively network with alumni and industry professionals through LinkedIn and career events. Refine your resume, practice technical interviews focusing on robotics concepts, and hone your communication skills. Leverage the university''''s placement cell extensively.
Tools & Resources
LinkedIn, Mock interview platforms, KLU Placement Cell resources, Resume building workshops
Career Connection
Effective networking and rigorous placement preparation are key to securing coveted positions. Understanding interview patterns and industry expectations specific to the Indian market will significantly boost your chances of landing a high-paying job in robotics and automation.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 or equivalent examination with 60% and above in aggregate and 60% and above in Group subjects (Physics, Chemistry and Mathematics). Admission through JEE Main / EAMCET / KLUEEE / Any other equivalent entrance examination.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 40% (for Theory), 50% (for Lab/Project/Internship), External: 60% (for Theory), 50% (for Lab/Project/Internship)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23ENG1101 | English I | Core | 3 | Listening Skills for Effective Communication, Speaking Skills for Interpersonal Interaction, Reading Skills for Comprehension, Writing Skills for Academic Purposes, Grammar and Vocabulary Enrichment |
| U23MAT1101 | Linear Algebra and Differential Equations | Core | 4 | Matrices and System of Linear Equations, Eigenvalues and Eigenvectors, Linear Differential Equations of First Order, Higher Order Linear Differential Equations, Partial Differential Equations |
| U23PHE1101 | Engineering Physics | Core | 3 | Wave Optics and Interference Phenomena, Quantum Mechanics and Wave-Particle Duality, Solid State Physics and Crystal Structures, Lasers and Fiber Optics Principles, Superconductivity and Dielectric Materials |
| U23CHE1101 | Engineering Chemistry | Core | 3 | Electrochemistry and Batteries, Polymer Chemistry and Engineering Plastics, Water Technology and Treatment Methods, Corrosion and its Control Mechanisms, Instrumental Methods of Chemical Analysis |
| U23CSI1101 | Programming for Problem Solving | Core | 3 | Introduction to Programming Languages (C), Control Statements and Looping, Functions and Modular Programming, Arrays, Pointers and Strings, Structures, Unions, and File Handling |
| U23PHE1501 | Engineering Physics Lab | Lab | 1.5 | Experiments on Wave Optics, Electrical Circuit Measurements, Semiconductor Device Characteristics, Laser Diffraction Studies, Magnetic Field Measurements |
| U23CHE1501 | Engineering Chemistry Lab | Lab | 1.5 | Volumetric Analysis (Titrations), Instrumental Analysis Techniques, Water Quality Parameter Determination, Synthesis of Organic Compounds, Corrosion Rate Measurement |
| U23CSI1501 | Programming for Problem Solving Lab | Lab | 1.5 | C Programming Basics, Conditional Statements and Loops, Functions and Arrays Implementation, Pointers and String Operations, File Input/Output Operations |
| U23ENG1501 | English Language and Communication Skills Lab | Lab | 1.5 | Phonetics and Pronunciation Practice, Role Plays and Situational Dialogues, Public Speaking and Presentations, Group Discussions and Debates, Interview Skills Training |
| U23ECA1501 | Engineering Workshop | Lab | 1.5 | Carpentry and Joinery, Fitting and Assembly, Sheet Metal Fabrication, Welding Processes, Electrical Wiring and Safety |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23ENG1102 | English II | Core | 3 | Advanced Reading Comprehension, Technical Report Writing, Effective Presentation Strategies, Group Discussion Techniques, Interview Preparation and Practice |
| U23MAT1102 | Probability and Statistics | Core | 4 | Basic Probability Theory, Random Variables and Distributions, Joint Probability Distributions, Sampling Distributions, Hypothesis Testing and Regression Analysis |
| U23EEE1101 | Basic Electrical Engineering | Core | 3 | DC Circuits and Network Theorems, AC Circuits and Phasor Analysis, Transformers Principles and Operation, DC Machines (Generators and Motors), AC Machines (Induction and Synchronous) |
| U23ECE1101 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes and Applications, Bipolar Junction Transistors (BJTs), Field-Effect Transistors (FETs), Rectifiers and Power Supplies, Basic Amplifier Circuits and Oscillators |
| U23CSI1102 | Data Structures | Core | 3 | Introduction to Data Structures and Algorithms, Arrays and Linked Lists, Stacks and Queues, Trees (Binary Trees, BST), Graphs and Graph Traversal Algorithms |
| U23CSI1502 | Data Structures Lab | Lab | 1.5 | Implementation of Linked Lists, Stack and Queue Operations, Binary Search Tree Operations, Graph Traversal Algorithms (DFS, BFS), Sorting and Searching Algorithms |
| U23ECE1501 | Basic Electronics Engineering Lab | Lab | 1.5 | Diode Characteristics and Rectifiers, Transistor Characteristics (CE, CB, CC), Amplifier Circuit Design and Analysis, Oscillator Circuit Implementation, Logic Gates and Digital ICs |
| U23EEE1501 | Basic Electrical Engineering Lab | Lab | 1.5 | Verification of Kirchhoff''''s Laws, Superposition and Thevenin''''s Theorem, OC/SC Test on Transformers, Speed Control of DC Motor, Measurement of Power in AC Circuits |
| U23MEE1501 | Engineering Graphics and Design | Lab | 1.5 | Orthographic Projections, Sectional Views of Solids, Isometric Projections, Development of Surfaces, Introduction to AutoCAD |
| U23CSE1103 | Python Programming for Engineering Applications | Core | 3 | Python Fundamentals and Data Types, Control Flow Statements, Functions and Modules in Python, File I/O and Exception Handling, Introduction to Libraries for Engineering (Numpy, Matplotlib) |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23MAT2101 | Discrete Mathematics | Core | 3 | Mathematical Logic and Proof Techniques, Set Theory and Relations, Functions and Recursion, Algebraic Structures (Groups, Rings), Graph Theory and Applications |
| U23RAA2101 | Kinematics and Dynamics of Machinery | Core | 3 | Kinematic Analysis of Mechanisms, Velocity and Acceleration Analysis, Static and Dynamic Force Analysis, Balancing of Rotating and Reciprocating Masses, Gears, Gear Trains and Cams |
| U23RAA2102 | Manufacturing Processes | Core | 3 | Casting and Foundry Operations, Forming Processes (Forging, Rolling), Machining Processes (Lathe, Milling), Joining Processes (Welding, Brazing), Introduction to Additive Manufacturing |
| U23CSI2101 | Database Management Systems | Core | 3 | Introduction to DBMS and Data Models, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Database Design, Transaction Management and Concurrency Control |
| U23CSI2102 | Object Oriented Programming with Java | Core | 3 | Introduction to OOP Concepts, Classes, Objects, and Methods, Inheritance and Polymorphism, Abstract Classes and Interfaces, Exception Handling and Multithreading |
| U23RAA2501 | Manufacturing Processes Lab | Lab | 1.5 | Sand Casting Experimentation, Sheet Metal Operations, Machining on Lathe and Milling Machine, Welding Practice, 3D Printing Introduction |
| U23CSI2501 | Database Management Systems Lab | Lab | 1.5 | SQL Commands (DDL, DML, DCL), Database Schema Creation, Advanced SQL Queries, Normalization and ER Diagrams, PL/SQL Programming |
| U23CSI2502 | Object Oriented Programming with Java Lab | Lab | 1.5 | Classes and Objects Implementation, Inheritance and Method Overriding, Polymorphism and Dynamic Method Dispatch, Exception Handling in Java, Multithreading and Synchronization |
| U23HSM2101 | Indian Constitution | Mandatory Course | 0 | Framing of the Indian Constitution, Fundamental Rights and Duties, Directive Principles of State Policy, Structure and Functions of Government, Constitutional Amendments and Emergency Provisions |
| U23ENV2101 | Environmental Science | Mandatory Course | 0 | Ecosystems and Biodiversity, Environmental Pollution and Control, Natural Resources Management, Climate Change and Global Warming, Environmental Ethics and Legislation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23RAA2103 | Microcontrollers and Embedded Systems | Core | 4 | Introduction to Microcontrollers (8051), PIC Microcontrollers Architecture, ARM Microcontrollers and Programming, Embedded C Programming, Interfacing Peripherals (Sensors, Actuators) |
| U23RAA2104 | Control Systems Engineering | Core | 4 | System Modeling (Transfer Functions, State Space), Time Domain Analysis of Control Systems, Frequency Domain Analysis (Bode, Nyquist Plots), Stability Analysis (Routh-Hurwitz, Root Locus), Compensators and Controllers Design (PID) |
| U23RAA2105 | Theory of Machines | Core | 3 | Kinematics of Mechanisms, Velocity and Acceleration Diagrams, Cams and Followers, Flywheels and Governors, Gyroscopic Couple and Applications |
| U23CSE2105 | Operating Systems | Core | 3 | Introduction to Operating System Concepts, Process Management and Scheduling, Memory Management Techniques, File Systems and I/O Management, Deadlocks and Concurrency Control |
| U23OECxxx | Open Elective - I | Elective | 3 | Topics vary based on student selection from the available pool of Open Electives., Examples include subjects from other engineering disciplines or general studies., Consult specific elective syllabus for detailed content. |
| U23RAA2502 | Microcontrollers and Embedded Systems Lab | Lab | 1.5 | Microcontroller Programming using Embedded C, LED and LCD Interfacing, Sensor Data Acquisition, Motor Control with Microcontrollers, Serial Communication Protocols |
| U23RAA2503 | Control Systems Engineering Lab | Lab | 1.5 | Time Response of Control Systems, Frequency Response Analysis, Stability Analysis using Software Tools, PID Controller Tuning, Lead-Lag Compensator Design |
| U23CSE2505 | Operating Systems Lab | Lab | 1.5 | Linux Commands and Shell Scripting, Process Management System Calls, Inter-Process Communication (IPC), Thread Synchronization, Memory Allocation Algorithms |
| U23HSM2102 | Essence of Indian Traditional Knowledge | Mandatory Course | 0 | Introduction to Indian Knowledge Systems, Indian Philosophy and Yoga, Traditional Indian Sciences (Ayurveda, Astronomy), Art, Architecture and Literature, Ethics and Values in Indian Tradition |
| U23SECxxx | Skill Enhancement Course | Elective | 0 | Topics vary based on student selection from the available pool of Skill Enhancement Courses., Aimed at developing practical and soft skills relevant to career readiness., Consult specific course details for more information. |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23RAA3101 | Industrial Automation and Robotics | Core | 4 | Introduction to Industrial Automation, Programmable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA), Robot Kinematics and Inverse Kinematics, Robot Dynamics and Trajectory Planning |
| U23RAA3102 | Sensor and Actuator Technology | Core | 4 | Principles of Sensing and Transducers, Proximity, Optical, and Ultrasonic Sensors, Force, Torque, and Tactile Sensors, Hydraulic and Pneumatic Actuators, Electric Motors (DC, AC, Stepper, Servo) |
| U23RAA3103 | Machine Learning for Robotics | Core | 3 | Introduction to Machine Learning Concepts, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Reinforcement Learning Basics, Introduction to Deep Learning in Robotics |
| U23PECxxx | Professional Elective - I | Elective | 3 | Selection from a pool of specialized professional topics., Potential areas include Advanced Control Systems, Robotic Process Automation, Digital Signal Processing, etc., Specific topics depend on student''''s chosen elective from the U23RAAPE pool. |
| U23OECxxx | Open Elective - II | Elective | 3 | Topics vary based on student selection from the available pool of Open Electives., Examples include subjects from other engineering disciplines or general studies., Consult specific elective syllabus for detailed content. |
| U23RAA3501 | Industrial Automation and Robotics Lab | Lab | 1.5 | PLC Programming for Industrial Tasks, SCADA System Configuration, Robot Programming and Simulation, Robot Gripper Control, Industrial Robot Applications |
| U23RAA3502 | Sensor and Actuator Technology Lab | Lab | 1.5 | Interfacing Various Sensors (IR, Ultrasonic, Force), Actuator Control using Microcontrollers, Data Acquisition and Signal Conditioning, Pneumatic and Hydraulic System Control, Motor Control Experiments |
| U23RAA3503 | Machine Learning for Robotics Lab | Lab | 1.5 | Implementation of Supervised Learning Algorithms, Clustering Techniques for Data Analysis, Introduction to Robot Learning Tasks, Basic Deep Learning Model Implementation, OpenCV for Image Processing in ML |
| U23SECxxx | Skill Enhancement Course | Elective | 0 | Topics vary based on student selection from the available pool of Skill Enhancement Courses., Aimed at developing practical and soft skills relevant to career readiness., Consult specific course details for more information. |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23RAA3104 | Artificial Intelligence and Expert Systems | Core | 4 | Introduction to AI Agents and Environments, Problem Solving by Search (informed/uninformed), Knowledge Representation and Reasoning, Expert Systems Architecture and Design, Introduction to Natural Language Processing |
| U23RAA3105 | Vision Guided Robotics | Core | 4 | Fundamentals of Digital Image Processing, Feature Extraction and Image Segmentation, Camera Models and Calibration, Object Detection and Recognition, Robot Vision System Integration |
| U23RAA3106 | Industrial Internet of Things (IIoT) | Core | 3 | IIoT Architecture and Components, Sensors, Actuators, and Smart Devices in IIoT, Edge Computing and Cloud Platforms for IIoT, Data Analytics in IIoT, Security and Privacy in IIoT Systems |
| U23PECxxx | Professional Elective - II | Elective | 3 | Selection from a pool of specialized professional topics., Potential areas include Computer Aided Design and Manufacturing, Mechatronics System Design, Additive Manufacturing, etc., Specific topics depend on student''''s chosen elective from the U23RAAPE pool. |
| U23PECxxx | Professional Elective - III | Elective | 3 | Selection from a pool of specialized professional topics., Potential areas include Flexible Manufacturing Systems, Human-Robot Interaction, Intelligent Sensors and Actuators, etc., Specific topics depend on student''''s chosen elective from the U23RAAPE pool. |
| U23RAA3504 | Artificial Intelligence and Expert Systems Lab | Lab | 1.5 | Implementation of Search Algorithms (BFS, DFS, A*), Constraint Satisfaction Problems, Prolog Programming for Expert Systems, Knowledge Representation Techniques, Mini-project on an AI Application |
| U23RAA3505 | Vision Guided Robotics Lab | Lab | 1.5 | Image Acquisition and Pre-processing, Feature Detection and Matching, Camera Calibration using OpenCV, Object Tracking in Real-time, Robot Hand-Eye Calibration |
| U23RAA3506 | Industrial Internet of Things Lab | Lab | 1.5 | Interfacing IIoT Devices and Sensors, Data Acquisition from Industrial Equipment, Cloud Platform Integration (AWS IoT, Azure IoT), Data Visualization and Monitoring, Basic IIoT Security Implementation |
| U23INT3601 | Industrial Internship / Mini Project | Project | 1.5 | Industry Exposure and Practical Application of Concepts, Problem Identification and Solution Design, Development of a Mini Project, Report Writing and Presentation, Teamwork and Project Management |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23RAA4101 | Autonomous Mobile Robots | Core | 4 | Robot Locomotion and Kinematics, Localization Techniques (GPS, SLAM), Mapping (Occupancy Grid, Feature-based), Path Planning Algorithms (A*, RRT), Navigation and Obstacle Avoidance |
| U23RAA4102 | Robot Design and System Integration | Core | 4 | Robot Mechanism Design Principles, Actuator and Sensor Selection for Robotics, Electrical System Integration and Power Management, Robot Software Architecture (ROS), Human-Robot Interaction and Safety Standards |
| U23PECxxx | Professional Elective - IV | Elective | 3 | Selection from a pool of specialized professional topics., Potential areas include Advanced Robotics, Deep Learning for Robotics, Medical Robotics, etc., Specific topics depend on student''''s chosen elective from the U23RAAPE pool. |
| U23OECxxx | Open Elective - III | Elective | 3 | Topics vary based on student selection from the available pool of Open Electives., Examples include subjects from other engineering disciplines or general studies., Consult specific elective syllabus for detailed content. |
| U23RAA4501 | Autonomous Mobile Robots Lab | Lab | 1.5 | Robot Operating System (ROS) Basics, Mobile Robot Kinematics and Control, Localization using Odometry and Sensors, Mapping with SLAM Algorithms, Path Planning and Navigation Implementation |
| U23RAA4701 | Project Work Phase - I | Project | 6 | Problem Identification and Scope Definition, Extensive Literature Review, Methodology Design and Planning, Initial System Design and Simulation, Preliminary Prototype Development |
| U23INT4601 | Internship | Project | 1.5 | Real-world Industry Experience, Application of Academic Knowledge, Problem-solving in Industrial Settings, Professional Networking, Career Exploration |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U23PECxxx | Professional Elective - V | Elective | 3 | Selection from a pool of specialized professional topics., Potential areas include Cognitive Robotics, Smart Manufacturing, Cyber-Physical Systems, etc., Specific topics depend on student''''s chosen elective from the U23RAAPE pool. |
| U23RAA4702 | Project Work Phase - II | Project | 9 | Advanced System Design and Implementation, Extensive Testing and Validation, Performance Evaluation and Optimization, Comprehensive Documentation and Report Writing, Final Project Presentation and Defense |
| U23ENT4601 | Entrepreneurship and Start-up Concepts | Project | 3 | Idea Generation and Validation, Business Model Canvas Development, Market Research and Analysis, Financial Planning and Funding Options, Pitching to Investors and Legal Aspects |
