Products 1401 - 1410 from 2089. Products on page
  • Practicum

    Course Description This course is designed to provide an understanding of the practical application of theoretical concepts in a professional setting. We will explore research on the practicum model and discuss why it is considered an important part of the learning process. We will also look at various types of practicums, where they can be completed, and how they can help build knowledge and experience in a chosen profession. Additionally, we will examine ways to evaluate practicums to ensure successful outcomes for both students and mentors. By the end of this course, you will understand how participating in a practicum enhances professional skills and career readiness. Course Objectives:
    • Describe the components and objectives associated with a traditional practicum program
    • Demonstrate methods for finding & securing appropriate observational experiences within a supervised environment for completing a Practicum
    • Utilize strategies for effectively evaluating & assessing student progress during their practicum so as to maximize learning opportunities
    • Examine various assessment tools that can be used when determining successful outcomes in connection with participation in such programs
    • Evaluate effective communication techniques regarding expectations between mentors & students while participating in a practicum setting
    • Identify activities necessary for maintaining accurate records which reflect varied aspects of gaining practical experiences via externship programs
    • Analyze guidelines regarding ethical behavior when working with younger participants who may not have the same level of understanding & awareness as adults
    • Assess potential problems likely incurred from incongruous collaboration scenarios that could result from teaming up mentees with mentors over long periods of time
    • Investigate approaches connected to helping mentee increase their chances when applying for post-graduation job placements upon completion of assessments tests or procedures necessary for some positions
    • Discuss implications related to transforming theoretical concepts into meaningful applications
  • Supplemental Classroom Materials include:.
    • 20 Books and access to 2,000 e-library books.
    • 20 Workbooks and access to online activities.
    • Set of 100 posters.
    • Student & teacher flashcards.
    • Printed and digital teacher lesson plans.
    • Games, music, and songs.
    • 20 licenses for digital learning platform: lessons, activities, assessment, live video streaming, and e-library.
  • Interactive activities and learning path. Instant Access to our platform / multimedia content 1 year full access to the purchased courses.

  • Interactive activities and learning path. Instant Access to our platform / multimedia content 1 year full access to the purchased courses. Inluding the following Levels:

     
  • Supplemental Classroom Materials include:.
    • 20 Books and access to 2,000 e-library books.
    • 20 Workbooks and access to online activities.
    • Set of 100 posters.
    • Student & teacher flashcards.
    • Printed and digital teacher lesson plans.
    • Games, music, and songs.
    • 20 licenses for digital learning platform: lessons, activities, assessment, live video streaming, and e-library.
  • Interactive activities and learning path. Instant Access to our platform / multimedia content 1 year full access to the purchased courses. Inluding the following Levels:

     
  • Interactive activities and learning path. Instant Access to our platform / multimedia content 1 year full access to the purchased courses. Inluding the following Levels:

     
  • Course Title: Precision Agriculture: Harnessing Technology for Efficient Farming Course Overview: This cutting-edge online course empowers learners to master the principles and practices of precision agriculture by leveraging advanced technology for enhanced farming efficiency. Through a blend of informative content, hands-on exercises, real-world case studies, and interactive discussions, participants will gain the knowledge and skills needed to implement precision agriculture techniques effectively. Course Length: 20 hours of instruction Proficiency Level: Intermediate Prerequisite Requirements: Participants should have a foundational understanding of agriculture and basic technology concepts. Familiarity with agricultural practices is beneficial but not mandatory. Industry-Wide Standards and Best Practices Objectives: By the end of the course, learners will be able to:
    1. Define the principles and benefits of precision agriculture.
    2. Analyze and interpret agricultural data collected through technology.
    3. Design data-driven management decisions for improved farming practices.
    4. Implement variable rate technology for precise input application.
    5. Design site-specific management strategies based on data analysis.
    6. Explore the integration of precision agriculture systems and data platforms.
    7. Discuss the economic and environmental benefits of precision agriculture.
    8. Analyze emerging trends and innovations in precision agriculture.
    9. Collaborate effectively with peers to solve complex precision agriculture challenges.
    10. Develop a comprehensive precision agriculture plan for a specific farming scenario.
    Upon successful completion of this course, participants will possess the knowledge and skills required to implement precision agriculture practices effectively, enhancing farming efficiency and sustainability through advanced technology.
  • Course Description: This course explores the design, construction, and maintenance of railway tracks, ensuring optimal performance and longevity under extreme conditions. Objectives:
      1. Understand track engineering principles and material selection.
      2. Optimize track alignment for safety and efficiency.
      3. Implement track stabilization techniques for long-term durability.
      4. Assess track stress, load-bearing, and deformation impacts.
      5. Utilize modern technologies for track condition monitoring.
      6. Improve track welding and fastening systems for stability.
      7. Develop predictive maintenance models for railway tracks.
      8. Evaluate case studies on high-performance track engineering.
      9. Integrate smart sensors for automated track inspections.
      10. Design a sustainable track engineering plan for modern rail systems.
  • Course Description: This course explores how predictive analytics and big data can transform rail logistics, enabling companies to anticipate demand, optimize cargo movement, and prevent disruptions. Objectives:
      1. Understand the role of predictive analytics in rail logistics.
      2. Apply big data analytics to optimize rail freight planning.
      3. Develop machine learning models for cargo demand forecasting.
      4. Integrate AI to improve operational efficiency in freight scheduling.
      5. Optimize warehouse and rail yard operations using data-driven insights.
      6. Enhance risk management with predictive failure detection.
      7. Utilize real-time analytics to reduce bottlenecks and congestion.
      8. Improve asset utilization and minimize idle time through AI.
      9. Automate decision-making in railway logistics.
      10. Design a predictive analytics framework for rail freight management.

OUR PRODUCTS 👇